Medical Care
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Major | Gender | Career | Ethnicity | First Generation Students | Dependents | Medical Condition | Medical Care | Analysis
Function
To begin, let’s explore the function we created to run all of this statistical analysis:
mysubsetMDS <- function(x){
mysubset <- df %>%
select(starts_with(x))
meta <- metaMDS(mysubset)
MDS_df <- data.frame(MDS1=meta$points[,1],MDS2=meta$points[,2]) %>%
cbind(demo)
return(MDS_df)
}
In English, this function allows us to run the MDS according to
each subset of demographic and each subset of question type that we
want. Obviously, in this page, we are exploring those who care for those
with medical conditions.
Question Types
Science Identity
Let’s explore the science identity subset of questions first. Running
our function we created and plotting it, we are left with this image of
the plot:
This is
great and all, but let’s run an adonis test to see if there is a
significant difference in answers from those who care for those with
medical conditions and those who don’t:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0249 0.024915 0.77976 0.00251 0.409
## Residuals 310 9.9050 0.031952 0.99749
## Total 311 9.9299 1.00000
##
## $call
## adonis(formula = si ~ demo$med_condition_dependent)
##
## $coefficients
## si1 si2 si3 si4
## (Intercept) 3.29084869 3.6997886 2.855331 2.9417095
## demo$med_condition_dependent1 0.01812141 -0.1183932 0.128058 0.2144367
## si5
## (Intercept) 3.190576865
## demo$med_condition_dependent1 0.008758683
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.193972377 0.161913769 0.16080167 0.342594039
## demo$med_condition_dependent1 0.004834377 0.009717252 0.01857648 0.002481943
## 5 6 7 8
## (Intercept) 0.200177410 0.12380814 0.16981381 0.204118242
## demo$med_condition_dependent1 0.003822736 0.02591023 0.02058073 -0.000894441
## 9 10 11 12
## (Intercept) 0.13276035 0.174187065 0.437089041 0.14034349
## demo$med_condition_dependent1 0.01609144 0.007752534 0.002726958 0.01970726
## 13 14 15 16
## (Intercept) 0.151031943 0.151031943 0.183505782 0.1615174
## demo$med_condition_dependent1 0.008042885 0.008042885 0.002804436 0.0045423
## 17 18 19 20
## (Intercept) 0.168962890 0.17904628 0.1873616292 0.193616536
## demo$med_condition_dependent1 0.002680533 0.02092204 -0.0009722391 0.009181536
## 21 22 23 24
## (Intercept) 0.16158790 0.13086631 0.152036049 0.15671292
## demo$med_condition_dependent1 0.01451566 0.02726325 0.009327324 0.03111828
## 25 26 27 28
## (Intercept) 0.15221989 0.233479497 0.151031943 0.21353381
## demo$med_condition_dependent1 0.01473607 -0.002178784 0.008042885 0.01205336
## 29 30 31 32
## (Intercept) 0.13302797 0.2253717 0.21924687 0.151031943
## demo$med_condition_dependent1 0.01766363 0.0284565 0.01406725 0.008042885
## 33 34 35 36
## (Intercept) 0.392462885 0.18427111 0.12380814 0.16510480
## demo$med_condition_dependent1 0.001176166 0.02298307 0.02591023 0.02994098
## 37 38 39 40
## (Intercept) 0.15221989 0.1615174 0.14162251 0.14034349
## demo$med_condition_dependent1 0.01473607 0.0045423 0.01383076 0.01970726
## 41 42 43 44
## (Intercept) 0.1980955484 0.1980955484 0.12395409 0.13276035
## demo$med_condition_dependent1 0.0007869151 0.0007869151 0.02407548 0.01609144
## 45 46 47 48
## (Intercept) 0.28793683 0.14034349 0.50043814 0.171524103
## demo$med_condition_dependent1 0.01056332 0.01970726 -0.00421243 0.007155125
## 49 50 51 52
## (Intercept) 0.14336659 0.13075555 0.233479497 0.2032150
## demo$med_condition_dependent1 0.03188663 0.02923354 -0.002178784 0.0120303
## 53 54 55 56
## (Intercept) 0.219502621 0.220659054 0.14953453 0.18012360
## demo$med_condition_dependent1 0.004415865 -0.004299927 0.01567208 0.02439701
## 57 58 59 60
## (Intercept) 0.14021299 0.13465534 0.151031943 0.378330441
## demo$med_condition_dependent1 0.02067006 0.01770563 0.008042885 0.007839919
## 61 62 63 64
## (Intercept) 0.13276035 0.14279088 0.13302797 0.16980667
## demo$med_condition_dependent1 0.01609144 0.01009176 0.01766363 0.03464285
## 65 66 67 68
## (Intercept) 0.13075555 0.25113998 0.220659054 0.15290370
## demo$med_condition_dependent1 0.02923354 0.02303661 -0.004299927 0.01556995
## 69 70 71 72
## (Intercept) 0.19894892 0.19371325 0.23798471 0.12395409
## demo$med_condition_dependent1 0.02491807 0.01906009 0.01063385 0.02407548
## 73 74 75 76
## (Intercept) 0.14965285 0.16182339 0.233479497 0.144159
## demo$med_condition_dependent1 0.01816181 0.02426192 -0.002178784 0.016915
## 77 78 79 80
## (Intercept) 0.14953453 0.203209972 0.16132310 0.15126239
## demo$med_condition_dependent1 0.01567208 -0.001802711 0.02531753 0.02332751
## 81 82 83 84
## (Intercept) 0.15126239 0.14762553 0.16132310 0.171524103
## demo$med_condition_dependent1 0.02332751 0.02109849 0.02531753 0.007155125
## 85 86 87 88
## (Intercept) 0.17525049 0.12380814 0.17051601 0.50043814
## demo$med_condition_dependent1 0.02380034 0.02591023 0.02078215 -0.00421243
## 89 90 91 92
## (Intercept) 0.203209972 0.293029699 0.13498148 0.179018084
## demo$med_condition_dependent1 -0.001802711 0.007751054 0.01932005 0.003533953
## 93 94 95 96
## (Intercept) 0.16021982 0.1542316 0.1806706458 0.15330561
## demo$med_condition_dependent1 0.01256876 0.0118200 0.0007519246 0.02201374
## 97 98 99 100
## (Intercept) 0.185748481 0.188691266 0.2174700 0.235331640
## demo$med_condition_dependent1 0.001743617 0.008378359 0.0200158 0.004249861
## 101 102 103 104
## (Intercept) 0.19596117 0.15243283 0.13498148 0.12395409
## demo$med_condition_dependent1 0.01850353 0.02017397 0.01932005 0.02407548
## 105 106 107 108
## (Intercept) 0.205693813 0.378330441 0.190051953 0.22449117
## demo$med_condition_dependent1 -0.003547199 0.007839919 0.001562181 0.01931154
## 109 110 111 112
## (Intercept) 0.17124259 0.14336659 0.13075555 0.184251949
## demo$med_condition_dependent1 0.02202377 0.03188663 0.02923354 0.004787261
## 113 114 115 116
## (Intercept) 0.14279088 0.15729886 0.50043814 0.3223334
## demo$med_condition_dependent1 0.01009176 0.03327972 -0.00421243 0.0123905
## 117 118 119 120
## (Intercept) 0.203209972 0.1989395 0.14789112 0.33606098
## demo$med_condition_dependent1 -0.001802711 0.0108883 0.02286884 0.02388373
## 121 122 123 124
## (Intercept) 0.13276035 0.14279088 0.233479497 0.29193754
## demo$med_condition_dependent1 0.01609144 0.01009176 -0.002178784 0.01456404
## 125 126 127 128
## (Intercept) 0.168294939 0.15315515 0.29250053 0.50043814
## demo$med_condition_dependent1 0.003338187 0.01623459 0.01512703 -0.00421243
## 129 130 131 132
## (Intercept) 0.233479497 0.168962890 0.305412303 0.193616536
## demo$med_condition_dependent1 -0.002178784 0.002680533 0.001473371 0.009181536
## 133 134 135 136
## (Intercept) 0.217699883 0.1806706458 0.13276035 0.15462886
## demo$med_condition_dependent1 0.001197561 0.0007519246 0.01609144 0.01712459
## 137 138 139 140
## (Intercept) 0.215259784 0.15860842 0.18789906 0.179018084
## demo$med_condition_dependent1 -0.002739912 0.00926023 0.02587136 0.003533953
## 141 142 143 144
## (Intercept) 0.14346239 0.12395409 0.170351456 0.1615174
## demo$med_condition_dependent1 0.01540482 0.02407548 0.008181579 0.0045423
## 145 146 147 148
## (Intercept) 0.337270195 0.14327158 0.17525049 0.343180294
## demo$med_condition_dependent1 0.005422562 0.02979816 0.02380034 0.003068198
## 149 150 151
## (Intercept) 0.199708697 0.236319801 0.2532219140
## demo$med_condition_dependent1 -0.001928941 -0.002658719 0.0008183195
## 152 153 154 155
## (Intercept) 0.170454412 0.20903068 0.1489135 0.170454412
## demo$med_condition_dependent1 0.004172055 0.01111202 0.0165833 0.004172055
## 156 157 158 159
## (Intercept) 0.50043814 0.233479497 0.233479497 0.181622305
## demo$med_condition_dependent1 -0.00421243 -0.002178784 -0.002178784 0.001703583
## 160 161 162 163
## (Intercept) 0.21420942 0.14034349 0.1806706458 0.1873616292
## demo$med_condition_dependent1 0.03322499 0.01970726 0.0007519246 -0.0009722391
## 164 165 166 167
## (Intercept) 0.159478290 0.13302797 0.164019979 0.17832932
## demo$med_condition_dependent1 0.009578389 0.01766363 0.007044907 0.01333685
## 168 169 170 171
## (Intercept) 0.13086631 0.25898513 0.14034349 0.16981381
## demo$med_condition_dependent1 0.02726325 0.01398007 0.01970726 0.02058073
## 172 173 174 175
## (Intercept) 0.12380814 0.21420942 0.171406071 0.185709005
## demo$med_condition_dependent1 0.02591023 0.03322499 0.005123713 0.006244317
## 176 177 178 179
## (Intercept) 0.16082624 0.14162251 0.1846622 0.17124259
## demo$med_condition_dependent1 0.02344535 0.01383076 0.0303672 0.02202377
## 180 181 182 183
## (Intercept) 0.32480137 0.14327158 0.13276035 0.12395409
## demo$med_condition_dependent1 0.01262413 0.02979816 0.01609144 0.02407548
## 184 185 186 187
## (Intercept) 0.13086631 0.16182339 0.17542173 0.14347199
## demo$med_condition_dependent1 0.02726325 0.02426192 0.01969514 0.01146543
## 188 189 190 191
## (Intercept) 0.15491944 0.14965285 0.13075555 0.50043814
## demo$med_condition_dependent1 0.01727086 0.01816181 0.02923354 -0.00421243
## 192 193 194 195
## (Intercept) 0.187325828 0.205693813 0.185748481 0.228768984
## demo$med_condition_dependent1 -0.003196494 -0.003547199 0.001743617 0.008152125
## 196 197 198 199
## (Intercept) 0.24619830 0.14673609 0.16148685 0.14279088
## demo$med_condition_dependent1 0.01894216 0.01986196 0.01743188 0.01009176
## 200 201 202 203
## (Intercept) 0.1806706458 0.1687824 0.13075555 0.13276035
## demo$med_condition_dependent1 0.0007519246 0.0192736 0.02923354 0.01609144
## 204 205 206 207
## (Intercept) 0.14034349 0.14965285 0.233479497 0.186638463
## demo$med_condition_dependent1 0.01970726 0.01816181 -0.002178784 0.007173775
## 208 209 210 211
## (Intercept) 0.14346239 0.18087860 0.16082624 0.152036049
## demo$med_condition_dependent1 0.01540482 0.00918139 0.02344535 0.009327324
## 212 213 214 215
## (Intercept) 0.16876911 0.39710127 0.50043814 0.202626511
## demo$med_condition_dependent1 0.01137779 -0.00284346 -0.00421243 0.006984161
## 216 217 218 219
## (Intercept) 0.172152666 0.34403805 0.50043814 0.160386110
## demo$med_condition_dependent1 0.007510751 0.01219042 -0.00421243 0.008189593
## 220 221 222 223
## (Intercept) 0.151031943 0.13465534 0.233479497 0.185748481
## demo$med_condition_dependent1 0.008042885 0.01770563 -0.002178784 0.001743617
## 224 225 226 227
## (Intercept) 0.179574248 0.50043814 0.18294911 0.342594039
## demo$med_condition_dependent1 0.004311847 -0.00421243 0.01275469 0.002481943
## 228 229 230 231
## (Intercept) 0.14226405 0.151031943 0.13498148 0.377719270
## demo$med_condition_dependent1 0.01530081 0.008042885 0.01932005 0.007228748
## 232 233 234 235
## (Intercept) 0.174187065 0.23007158 0.161351082 0.17516201
## demo$med_condition_dependent1 0.007752534 0.01320849 0.008921465 0.00872748
## 236 237 238 239
## (Intercept) 0.13498148 0.183505782 0.12380814 0.262314406
## demo$med_condition_dependent1 0.01932005 0.002804436 0.02591023 0.009733589
## 240 241 242 243
## (Intercept) 0.304849313 0.13498148 0.24619830 0.37865763
## demo$med_condition_dependent1 0.000910381 0.01932005 0.01894216 0.00816711
## 244 245 246 247
## (Intercept) 0.1971660905 0.18053699 0.17832932 0.304849313
## demo$med_condition_dependent1 -0.0001425428 0.01981552 0.01333685 0.000910381
## 248 249 250 251
## (Intercept) 0.22435715 0.1622790 0.170705249 0.20934133
## demo$med_condition_dependent1 0.01917752 0.0138862 0.009068172 0.02514968
## 252 253 254 255
## (Intercept) 0.14279088 0.17152769 0.1873616292 0.12380814
## demo$med_condition_dependent1 0.01009176 0.02252962 -0.0009722391 0.02591023
## 256 257 258 259
## (Intercept) 0.14347199 0.30619815 0.19440693 0.15402002
## demo$med_condition_dependent1 0.01146543 0.01016436 0.01689833 0.01707728
## 260 261 262 263
## (Intercept) 0.50043814 0.12395409 0.258523414 0.258523414
## demo$med_condition_dependent1 -0.00421243 0.02407548 0.005942598 0.005942598
## 264 265 266 267
## (Intercept) 0.16726360 0.15863748 0.217699883 0.15290370
## demo$med_condition_dependent1 0.01007215 0.01576497 0.001197561 0.01556995
## 268 269 270 271
## (Intercept) 0.14162251 0.14336659 0.14279088 0.13276035
## demo$med_condition_dependent1 0.01383076 0.03188663 0.01009176 0.01609144
## 272 273 274 275
## (Intercept) 0.293029699 0.144159 0.199708697 0.16980667
## demo$med_condition_dependent1 0.007751054 0.016915 -0.001928941 0.03464285
## 276 277 278 279
## (Intercept) 0.24047411 0.168962890 0.190051953 0.21826823
## demo$med_condition_dependent1 0.03096689 0.002680533 0.001562181 0.03827554
## 280 281 282 283
## (Intercept) 0.13344740 0.15154783 0.16304503 0.26285569
## demo$med_condition_dependent1 0.02154101 0.02730477 0.00606996 0.01027487
## 284 285 286 287
## (Intercept) 0.151031943 0.170351456 0.17956559 0.16153963
## demo$med_condition_dependent1 0.008042885 0.008181579 0.03141476 0.02448059
## 288 289 290 291
## (Intercept) 0.14346239 0.15330561 0.14162251 0.210286317
## demo$med_condition_dependent1 0.01540482 0.02201374 0.01383076 0.005374309
## 292 293 294 295
## (Intercept) 0.13086631 0.1971660905 0.1489135 0.161351082
## demo$med_condition_dependent1 0.02726325 -0.0001425428 0.0165833 0.008921465
## 296 297 298 299
## (Intercept) 0.21924687 0.13302797 0.14012723 0.14162251
## demo$med_condition_dependent1 0.01406725 0.01766363 0.01805996 0.01383076
## 300 301 302 303
## (Intercept) 0.233479497 0.1873616292 0.19204292 0.170454412
## demo$med_condition_dependent1 -0.002178784 -0.0009722391 0.03759098 0.004172055
## 304 305 306 307
## (Intercept) 0.349261222 0.218393532 0.151031943 0.15362393
## demo$med_condition_dependent1 0.001097899 0.002231007 0.008042885 0.02131446
## 308 309 310 311
## (Intercept) 0.14388314 0.25974349 0.18470398 0.30018482
## demo$med_condition_dependent1 0.02397032 0.01367379 0.01417858 0.02281132
## 312
## (Intercept) 0.50043814
## demo$med_condition_dependent1 -0.00421243
##
## $f.perms
## [,1]
## [1,] 1.453380959
## [2,] 0.339799255
## [3,] 0.471919011
## [4,] 1.499783507
## [5,] 0.298935535
## [6,] 0.733379504
## [7,] 0.642975416
## [8,] 0.522134452
## [9,] 2.381894527
## [10,] 0.187362563
## [11,] 0.657232517
## [12,] 0.749623172
## [13,] 1.288450137
## [14,] 0.557778771
## [15,] 0.824408844
## [16,] 0.472982282
## [17,] 0.685097978
## [18,] 1.259206649
## [19,] 0.284143441
## [20,] 2.754607995
## [21,] 1.939436240
## [22,] 0.470867120
## [23,] 0.290437744
## [24,] 2.815020198
## [25,] 1.808770511
## [26,] 0.807462367
## [27,] 1.487481251
## [28,] 2.211499697
## [29,] 0.380870573
## [30,] 1.775994580
## [31,] 0.993843698
## [32,] 1.760678001
## [33,] 0.473425042
## [34,] 0.620716547
## [35,] 2.449787151
## [36,] 0.651314362
## [37,] 0.043137376
## [38,] 0.123800471
## [39,] 0.118122642
## [40,] 1.412189085
## [41,] 4.055196352
## [42,] 0.548368126
## [43,] 1.274655370
## [44,] 0.716246344
## [45,] 0.824089387
## [46,] 0.112533663
## [47,] 0.107896450
## [48,] 0.332709769
## [49,] 0.205190603
## [50,] 0.420219694
## [51,] 0.348085009
## [52,] 1.613716423
## [53,] 0.265771034
## [54,] 4.847911268
## [55,] 0.244450211
## [56,] -0.078186414
## [57,] 0.489852939
## [58,] 0.658921137
## [59,] 0.109764578
## [60,] 1.137968426
## [61,] 0.718380053
## [62,] 2.594521039
## [63,] 1.057602112
## [64,] 0.343952253
## [65,] 1.370223120
## [66,] 0.637970501
## [67,] -0.031082547
## [68,] 0.779187436
## [69,] 0.264205770
## [70,] -0.047181698
## [71,] 0.359333080
## [72,] 0.051874597
## [73,] 0.842978815
## [74,] 0.239681422
## [75,] 1.392688505
## [76,] 5.720482510
## [77,] -0.024983455
## [78,] 1.070495077
## [79,] 1.016231725
## [80,] 0.596125629
## [81,] 0.590486262
## [82,] 0.048129391
## [83,] 1.047296879
## [84,] 0.676421314
## [85,] 0.460056207
## [86,] 0.816605678
## [87,] 0.244772604
## [88,] 0.327701946
## [89,] 0.351809135
## [90,] 0.646876888
## [91,] 1.194056622
## [92,] 1.311770101
## [93,] 1.398701694
## [94,] 0.416263264
## [95,] 0.219125931
## [96,] 0.607631616
## [97,] 2.403473870
## [98,] 0.870434997
## [99,] 1.527843618
## [100,] 0.711107747
## [101,] 0.325330647
## [102,] 1.348301413
## [103,] 1.008531150
## [104,] 0.809645793
## [105,] 0.752877952
## [106,] 0.318117989
## [107,] 0.924441906
## [108,] 0.079995770
## [109,] 0.093408752
## [110,] 0.148881959
## [111,] 0.157608023
## [112,] 0.520085590
## [113,] 0.298645164
## [114,] 0.311513122
## [115,] 0.160282210
## [116,] 0.301117357
## [117,] 0.819508368
## [118,] 0.134031353
## [119,] 0.533379381
## [120,] 0.724437937
## [121,] 0.733395515
## [122,] 1.286846449
## [123,] 2.744377685
## [124,] 0.603896643
## [125,] 0.201988857
## [126,] 2.071517251
## [127,] 0.281133448
## [128,] 0.106304238
## [129,] 2.870865432
## [130,] 0.812416801
## [131,] 0.278910657
## [132,] 0.505900322
## [133,] 0.685189263
## [134,] 0.319949964
## [135,] -0.034385981
## [136,] 0.607461875
## [137,] 0.151868880
## [138,] 0.405693855
## [139,] 0.194931332
## [140,] 0.776193515
## [141,] 1.525085319
## [142,] 0.787232524
## [143,] 0.599267210
## [144,] 5.127256174
## [145,] 0.704581591
## [146,] 1.952455108
## [147,] 2.082398436
## [148,] 0.777269427
## [149,] 4.473118591
## [150,] 1.288828838
## [151,] 0.188566571
## [152,] 0.768925716
## [153,] 1.191505290
## [154,] 1.418795448
## [155,] 0.803168280
## [156,] 2.016652069
## [157,] 1.281832368
## [158,] -0.415332752
## [159,] 0.369608277
## [160,] 0.863593161
## [161,] 0.180554351
## [162,] 2.109679116
## [163,] 1.867267291
## [164,] -0.106868283
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## [996,] 0.641637957
## [997,] 0.050380161
## [998,] 1.364054596
## [999,] 0.748939505
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
## 2 1 1
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##
## $terms
## si ~ demo$med_condition_dependent
## attr(,"variables")
## list(si, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## si 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Career Motivation
Next, let’s look into Carer Motivation:
And an
Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.1017 0.101709 2.0043 0.00642 0.147
## Residuals 310 15.7311 0.050746 0.99358
## Total 311 15.8329 1.00000
##
## $call
## adonis(formula = cm ~ demo$med_condition_dependent)
##
## $coefficients
## cm1 cm2 cm3 cm4
## (Intercept) 4.1054062 4.355331 4.3403805 4.2949260
## demo$med_condition_dependent1 -0.2582301 -0.371942 -0.3868922 -0.3414376
## cm5
## (Intercept) 4.1303232
## demo$med_condition_dependent1 -0.2333132
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.10319551 0.15352073 0.58407351 0.12783027
## demo$med_condition_dependent1 0.05004818 0.03344417 -0.04713688 0.03235334
## 5 6 7 8
## (Intercept) 0.10319551 0.10987794 0.11595731 0.10319551
## demo$med_condition_dependent1 0.05004818 0.04426141 0.03980573 0.05004818
## 9 10 11 12
## (Intercept) 0.10179626 0.58407351 0.15758628 0.10319551
## demo$med_condition_dependent1 0.05026938 -0.04713688 0.02964336 0.05004818
## 13 14 15 16
## (Intercept) 0.10319551 0.13440859 0.10319551 0.13440859
## demo$med_condition_dependent1 0.05004818 0.02732396 0.05004818 0.02732396
## 17 18 19 20
## (Intercept) 0.10319551 0.11593455 0.10319551 0.13440859
## demo$med_condition_dependent1 0.05004818 0.03978297 0.05004818 0.02732396
## 21 22 23 24
## (Intercept) 0.10179626 0.10319551 0.41835716 0.12544073
## demo$med_condition_dependent1 0.05026938 0.05004818 -0.02275377 0.03419671
## 25 26 27 28
## (Intercept) 0.10319551 0.58407351 0.10179626 0.13440859
## demo$med_condition_dependent1 0.05004818 -0.04713688 0.05026938 0.02732396
## 29 30 31 32
## (Intercept) 0.10319551 0.316575676 0.53520467 0.53515515
## demo$med_condition_dependent1 0.05004818 -0.006565602 -0.03852628 -0.03857581
## 33 34 35 36
## (Intercept) 0.58407351 0.10319551 0.14898581 0.12665170
## demo$med_condition_dependent1 -0.04713688 0.05004818 0.02547749 0.03442235
## 37 38 39 40
## (Intercept) 0.15756596 0.58407351 0.41118904 0.10319551
## demo$med_condition_dependent1 0.02962304 -0.04713688 -0.02126388 0.05004818
## 41 42 43 44
## (Intercept) 0.58407351 0.10319551 0.10319551 0.314551696
## demo$med_condition_dependent1 -0.04713688 0.05004818 0.05004818 -0.008589582
## 45 46 47 48
## (Intercept) 0.10761666 0.22752987 0.21293851 0.58407351
## demo$med_condition_dependent1 0.04604453 0.01034516 0.01812755 -0.04713688
## 49 50 51 52
## (Intercept) 0.11722438 0.41770789 0.58407351 0.23031281
## demo$med_condition_dependent1 0.03983051 -0.02340304 -0.04713688 0.01312811
## 53 54 55 56
## (Intercept) 0.1676257 0.58407351 0.11593455 0.14898581
## demo$med_condition_dependent1 0.0223037 -0.04713688 0.03978297 0.02547749
## 57 58 59 60
## (Intercept) 0.14195364 0.10319551 0.10319551 0.46342755
## demo$med_condition_dependent1 0.03043442 0.05004818 0.05004818 -0.02516982
## 61 62 63 64
## (Intercept) 0.10319551 0.15218584 0.1182705 0.17020499
## demo$med_condition_dependent1 0.05004818 0.02413206 0.0379824 0.02022098
## 65 66 67 68
## (Intercept) 0.13069199 0.14113055 0.10319551 0.1182705
## demo$med_condition_dependent1 0.03846264 0.02961133 0.05004818 0.0379824
## 69 70 71 72
## (Intercept) 0.14203857 0.10179626 0.10319551 0.251802821
## demo$med_condition_dependent1 0.03062494 0.05026938 0.05004818 0.008260935
## 73 74 75 76
## (Intercept) 0.13440859 0.10319551 0.10319551 0.10761666
## demo$med_condition_dependent1 0.02732396 0.05004818 0.05004818 0.04604453
## 77 78 79 80
## (Intercept) 0.10319551 0.58407351 0.13440859 0.10319551
## demo$med_condition_dependent1 0.05004818 -0.04713688 0.02732396 0.05004818
## 81 82 83 84
## (Intercept) 0.10319551 0.19104358 0.310912138 0.1099013
## demo$med_condition_dependent1 0.05004818 0.01661704 -0.004653382 0.0442848
## 85 86 87 88
## (Intercept) 0.13440859 0.10179626 0.13958472 0.283883123
## demo$med_condition_dependent1 0.02732396 0.05026938 0.03260567 -0.001912942
## 89 90 91 92
## (Intercept) 0.10319551 0.15150082 0.10319551 0.10179626
## demo$med_condition_dependent1 0.05004818 0.02344704 0.05004818 0.05026938
## 93 94 95 96
## (Intercept) 0.4515507 0.10319551 0.10179626 0.12665170
## demo$med_condition_dependent1 -0.0279558 0.05004818 0.05026938 0.03442235
## 97 98 99 100
## (Intercept) 0.11119853 0.58407351 0.18957101 0.10319551
## demo$med_condition_dependent1 0.04418701 -0.04713688 0.01662937 0.05004818
## 101 102 103 104
## (Intercept) 0.10319551 0.10319551 0.13601967 0.12457311
## demo$med_condition_dependent1 0.05004818 0.05004818 0.03631441 0.03322842
## 105 106 107 108
## (Intercept) 0.10319551 0.40672789 0.10319551 0.1182705
## demo$med_condition_dependent1 0.05004818 -0.01706702 0.05004818 0.0379824
## 109 110 111 112
## (Intercept) 0.58407351 0.12546278 0.10319551 0.58407351
## demo$med_condition_dependent1 -0.04713688 0.03421875 0.05004818 -0.04713688
## 113 114 115 116
## (Intercept) 0.10319551 0.10319551 0.13958472 0.10319551
## demo$med_condition_dependent1 0.05004818 0.05004818 0.03260567 0.05004818
## 117 118 119 120
## (Intercept) 0.10319551 0.16480321 0.58407351 0.10179626
## demo$med_condition_dependent1 0.05004818 0.02634578 -0.04713688 0.05026938
## 121 122 123 124
## (Intercept) 0.10319551 0.10319551 0.10319551 0.18620189
## demo$med_condition_dependent1 0.05004818 0.05004818 0.05004818 0.01804494
## 125 126 127 128
## (Intercept) 0.10319551 0.10319551 0.20842084 0.13440859
## demo$med_condition_dependent1 0.05004818 0.05004818 0.01633583 0.02732396
## 129 130 131 132
## (Intercept) 0.10319551 0.10319551 0.15150082 0.10319551
## demo$med_condition_dependent1 0.05004818 0.05004818 0.02344704 0.05004818
## 133 134 135 136
## (Intercept) 0.10319551 0.10319551 0.10319551 0.14898581
## demo$med_condition_dependent1 0.05004818 0.05004818 0.05004818 0.02547749
## 137 138 139 140
## (Intercept) 0.10319551 0.53520467 0.10761666 0.10319551
## demo$med_condition_dependent1 0.05004818 -0.03852628 0.04604453 0.05004818
## 141 142 143 144
## (Intercept) 0.12783027 0.10179626 0.10319551 0.13440859
## demo$med_condition_dependent1 0.03235334 0.05026938 0.05004818 0.02732396
## 145 146 147 148
## (Intercept) 0.1182705 0.14898581 0.10319551 0.13440859
## demo$med_condition_dependent1 0.0379824 0.02547749 0.05004818 0.02732396
## 149 150 151 152
## (Intercept) 0.58407351 0.11914249 0.10319551 0.10319551
## demo$med_condition_dependent1 -0.04713688 0.03895051 0.05004818 0.05004818
## 153 154 155 156
## (Intercept) 0.12544073 0.12783027 0.11722438 0.10319551
## demo$med_condition_dependent1 0.03419671 0.03235334 0.03983051 0.05004818
## 157 158 159 160
## (Intercept) 0.10319551 0.13440859 0.10179626 0.13958472
## demo$med_condition_dependent1 0.05004818 0.02732396 0.05026938 0.03260567
## 161 162 163 164
## (Intercept) 0.11722438 0.58407351 0.10319551 0.10319551
## demo$med_condition_dependent1 0.03983051 -0.04713688 0.05004818 0.05004818
## 165 166 167 168
## (Intercept) 0.11119853 0.10319551 0.10319551 0.13440859
## demo$med_condition_dependent1 0.04418701 0.05004818 0.05004818 0.02732396
## 169 170 171 172
## (Intercept) 0.10319551 0.314551696 0.58407351 0.12546278
## demo$med_condition_dependent1 0.05004818 -0.008589582 -0.04713688 0.03421875
## 173 174 175 176
## (Intercept) 0.15234757 0.11119853 0.10898685 0.11950906
## demo$med_condition_dependent1 0.02429379 0.04418701 0.04593164 0.03807078
## 177 178 179 180
## (Intercept) 0.48928109 0.11122247 0.15218584 0.14203857
## demo$med_condition_dependent1 -0.03099225 0.04421096 0.02413206 0.03062494
## 181 182 183 184
## (Intercept) 0.10319551 0.290133653 0.58407351 0.10319551
## demo$med_condition_dependent1 0.05004818 -0.001010006 -0.04713688 0.05004818
## 185 186 187 188
## (Intercept) 0.12735499 0.13440859 0.49500270 0.23531487
## demo$med_condition_dependent1 0.04187632 0.02732396 -0.03484002 0.01139616
## 189 190 191 192
## (Intercept) 0.10319551 0.10319551 0.311105616 0.10179626
## demo$med_condition_dependent1 0.05004818 0.05004818 -0.004459904 0.05026938
## 193 194 195 196
## (Intercept) 0.12546278 0.10319551 0.58407351 0.13440859
## demo$med_condition_dependent1 0.03421875 0.05004818 -0.04713688 0.02732396
## 197 198 199 200
## (Intercept) 0.12204718 0.10319551 0.10761666 0.10898685
## demo$med_condition_dependent1 0.04474513 0.05004818 0.04604453 0.04593164
## 201 202 203 204
## (Intercept) 0.22752987 0.10179626 0.10319551 0.41308004
## demo$med_condition_dependent1 0.01034516 0.05026938 0.05004818 -0.01937289
## 205 206 207 208
## (Intercept) 0.14446300 0.58407351 0.10898685 0.10898685
## demo$med_condition_dependent1 0.02871545 -0.04713688 0.04593164 0.04593164
## 209 210 211 212
## (Intercept) 0.11722438 0.13440859 0.58407351 0.10179626
## demo$med_condition_dependent1 0.03983051 0.02732396 -0.04713688 0.05026938
## 213 214 215 216
## (Intercept) 0.10319551 0.10319551 0.10319551 0.58407351
## demo$med_condition_dependent1 0.05004818 0.05004818 0.05004818 -0.04713688
## 217 218 219 220
## (Intercept) 0.10319551 0.10319551 0.10319551 0.10319551
## demo$med_condition_dependent1 0.05004818 0.05004818 0.05004818 0.05004818
## 221 222 223 224
## (Intercept) 0.10319551 0.10319551 0.10319551 0.11119853
## demo$med_condition_dependent1 0.05004818 0.05004818 0.05004818 0.04418701
## 225 226 227 228
## (Intercept) 0.1676257 0.12896486 0.18949509 0.10179626
## demo$med_condition_dependent1 0.0223037 0.03259901 0.01655345 0.05026938
## 229 230 231 232
## (Intercept) 0.58407351 0.58407351 0.11595731 0.10319551
## demo$med_condition_dependent1 -0.04713688 -0.04713688 0.03980573 0.05004818
## 233 234 235 236
## (Intercept) 0.10179626 0.10761666 0.58407351 0.40672789
## demo$med_condition_dependent1 0.05026938 0.04604453 -0.04713688 -0.01706702
## 237 238 239 240
## (Intercept) 0.10319551 0.15150082 0.10319551 0.11722438
## demo$med_condition_dependent1 0.05004818 0.02344704 0.05004818 0.03983051
## 241 242 243 244
## (Intercept) 0.13440859 0.10319551 0.17489176 0.10319551
## demo$med_condition_dependent1 0.02732396 0.05004818 0.01884715 0.05004818
## 245 246 247 248
## (Intercept) 0.11119853 0.10319551 0.13440859 0.309093592
## demo$med_condition_dependent1 0.04418701 0.05004818 0.02732396 0.001103829
## 249 250 251 252
## (Intercept) 0.10319551 0.10319551 0.11595731 0.10319551
## demo$med_condition_dependent1 0.05004818 0.05004818 0.03980573 0.05004818
## 253 254 255 256
## (Intercept) 0.10987794 0.10319551 0.13440859 0.18949509
## demo$med_condition_dependent1 0.04426141 0.05004818 0.02732396 0.01655345
## 257 258 259 260
## (Intercept) 0.12554559 0.16249076 0.1099013 0.19788025
## demo$med_condition_dependent1 0.04112528 0.02556252 0.0442848 0.02571273
## 261 262 263 264
## (Intercept) 0.10319551 0.37305193 0.280590093 0.58407351
## demo$med_condition_dependent1 0.05004818 -0.01531015 0.002066755 -0.04713688
## 265 266 267 268
## (Intercept) 0.58407351 0.10319551 0.11119853 0.10319551
## demo$med_condition_dependent1 -0.04713688 0.05004818 0.04418701 0.05004818
## 269 270 271 272
## (Intercept) 0.10319551 0.11119853 0.11914249 0.20904588
## demo$med_condition_dependent1 0.05004818 0.04418701 0.03895051 0.01696086
## 273 274 275 276
## (Intercept) 0.10179626 0.3397564489 0.11914249 0.1304934
## demo$med_condition_dependent1 0.05026938 0.0007060527 0.03895051 0.0393501
## 277 278 279 280
## (Intercept) 0.10319551 0.10319551 0.305647512 0.53520467
## demo$med_condition_dependent1 0.05004818 0.05004818 0.005233507 -0.03852628
## 281 282 283 284
## (Intercept) 0.10319551 0.58407351 0.10319551 0.14113055
## demo$med_condition_dependent1 0.05004818 -0.04713688 0.05004818 0.02961133
## 285 286 287 288
## (Intercept) 0.11914249 0.15926857 0.10319551 0.10179626
## demo$med_condition_dependent1 0.03895051 0.03132565 0.05004818 0.05026938
## 289 290 291 292
## (Intercept) 0.10761666 0.10761666 0.58407351 0.10319551
## demo$med_condition_dependent1 0.04604453 0.04604453 -0.04713688 0.05004818
## 293 294 295 296
## (Intercept) 0.10319551 0.10319551 0.10319551 0.10319551
## demo$med_condition_dependent1 0.05004818 0.05004818 0.05004818 0.05004818
## 297 298 299 300
## (Intercept) 0.13440859 0.58407351 0.22935565 0.10319551
## demo$med_condition_dependent1 0.02732396 -0.04713688 0.01217095 0.05004818
## 301 302 303 304
## (Intercept) 0.58407351 0.13069199 0.10319551 0.11073298
## demo$med_condition_dependent1 -0.04713688 0.03846264 0.05004818 0.04520828
## 305 306 307 308
## (Intercept) 0.10987794 0.54080713 0.11593455 0.11950906
## demo$med_condition_dependent1 0.04426141 -0.04302483 0.03978297 0.03807078
## 309 310 311 312
## (Intercept) 0.14789968 0.58407351 0.13440859 0.10319551
## demo$med_condition_dependent1 0.03588528 -0.04713688 0.02732396 0.05004818
##
## $f.perms
## [,1]
## [1,] 0.9855326742
## [2,] 0.7006258713
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## [998,] 0.0560373869
## [999,] 2.0131974865
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
## 2 1 1
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##
## $terms
## cm ~ demo$med_condition_dependent
## attr(,"variables")
## list(cm, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## cm 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Intrinsic Motivation
Now, Intrinsic Motivation:
And an
Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0495 0.049487 1.7508 0.00562 0.164
## Residuals 310 8.7624 0.028266 0.99438
## Total 311 8.8119 1.00000
##
## $call
## adonis(formula = im ~ demo$med_condition_dependent)
##
## $coefficients
## im1 im2 im3 im4
## (Intercept) 4.3630323 4.2677439 4.0815464 3.9679855
## demo$med_condition_dependent1 -0.2733313 -0.2777107 -0.1911809 -0.2138327
## im5
## (Intercept) 4.0499849
## demo$med_condition_dependent1 -0.2227424
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.1045127 0.12325512 0.09483683 0.199409909
## demo$med_condition_dependent1 0.0363127 0.02158147 0.02724100 0.004359089
## 5 6 7 8
## (Intercept) 0.09737296 0.11868506 0.247268260 0.09258506
## demo$med_condition_dependent1 0.03142333 0.01825758 -0.004987615 0.03489989
## 9 10 11 12
## (Intercept) 0.09194874 0.5943849 0.10199627 0.09194874
## demo$med_condition_dependent1 0.03399981 -0.0314685 0.03174247 0.03399981
## 13 14 15 16
## (Intercept) 0.09632682 0.08841532 0.09863599 0.1045127
## demo$med_condition_dependent1 0.02844238 0.02628704 0.02774412 0.0363127
## 17 18 19 20
## (Intercept) 0.1045127 0.09632682 0.1045127 0.11578967
## demo$med_condition_dependent1 0.0363127 0.02844238 0.0363127 0.02371198
## 21 22 23 24
## (Intercept) 0.1045127 0.09417573 0.198702983 0.11868506
## demo$med_condition_dependent1 0.0363127 0.02629129 0.003652163 0.01825758
## 25 26 27 28
## (Intercept) 0.09942888 0.5943849 0.09207735 0.10486281
## demo$med_condition_dependent1 0.03347925 -0.0314685 0.03160177 0.02176516
## 29 30 31 32
## (Intercept) 0.1045127 0.08841532 0.08580808 0.43868774
## demo$med_condition_dependent1 0.0363127 0.02628704 0.03080998 -0.02344012
## 33 34 35 36
## (Intercept) 0.195367991 0.12680898 0.11868506 0.10155474
## demo$med_condition_dependent1 0.005367676 0.01652469 0.01825758 0.02300255
## 37 38 39 40
## (Intercept) 0.1045127 0.08841532 0.43889539 0.1045127
## demo$med_condition_dependent1 0.0363127 0.02628704 -0.02323248 0.0363127
## 41 42 43 44
## (Intercept) 0.1045127 0.10439260 0.1045127 0.12954987
## demo$med_condition_dependent1 0.0363127 0.03323957 0.0363127 0.01926558
## 45 46 47 48
## (Intercept) 0.11018948 0.186833581 0.11909774 0.254886663
## demo$med_condition_dependent1 0.02204133 0.002515084 0.02247459 -0.003429818
## 49 50 51 52
## (Intercept) 0.14149762 0.08653015 0.5943849 0.13709722
## demo$med_condition_dependent1 0.01275438 0.03423547 -0.0314685 0.01370157
## 53 54 55 56
## (Intercept) 0.10530770 0.5943849 0.15107725 0.11086731
## demo$med_condition_dependent1 0.02221006 -0.0314685 0.01220173 0.02234267
## 57 58 59 60
## (Intercept) 0.11868506 0.10155474 0.09769918 0.08841532
## demo$med_condition_dependent1 0.01825758 0.02300255 0.03462696 0.02628704
## 61 62 63 64
## (Intercept) 0.09769918 0.12132636 0.13709722 0.13709722
## demo$med_condition_dependent1 0.03462696 0.02434049 0.01370157 0.01370157
## 65 66 67 68
## (Intercept) 0.08841532 0.09913304 0.1045127 0.09258506
## demo$med_condition_dependent1 0.02628704 0.03134928 0.0363127 0.03489989
## 69 70 71 72
## (Intercept) 0.10795729 0.09879257 0.1298383 0.08580808
## demo$med_condition_dependent1 0.02747512 0.03257918 0.0271682 0.03080998
## 73 74 75 76
## (Intercept) 0.09258506 0.08916093 0.1045127 0.12865336
## demo$med_condition_dependent1 0.03489989 0.02993450 0.0363127 0.01836907
## 77 78 79 80
## (Intercept) 0.08580808 0.5943849 0.11491298 0.09908602
## demo$med_condition_dependent1 0.03080998 -0.0314685 0.02147434 0.03576128
## 81 82 83 84
## (Intercept) 0.08916093 0.08841532 0.10720526 0.09535393
## demo$med_condition_dependent1 0.02993450 0.02628704 0.02311521 0.03074612
## 85 86 87 88
## (Intercept) 0.10530770 0.10155474 0.09908602 0.27865430
## demo$med_condition_dependent1 0.02221006 0.02300255 0.03576128 -0.01059224
## 89 90 91 92
## (Intercept) 0.09258506 0.161727136 0.09207735 0.09142887
## demo$med_condition_dependent1 0.03489989 0.008676939 0.03160177 0.03067753
## 93 94 95 96
## (Intercept) 0.14149762 0.08841532 0.09769918 0.08841532
## demo$med_condition_dependent1 0.01275438 0.02628704 0.03462696 0.02628704
## 97 98 99 100
## (Intercept) 0.08653015 0.35343958 0.11868506 0.1045127
## demo$med_condition_dependent1 0.03423547 -0.01678966 0.01825758 0.0363127
## 101 102 103 104
## (Intercept) 0.08580808 0.1045127 0.11930624 0.10155474
## demo$med_condition_dependent1 0.03080998 0.0363127 0.02279396 0.02300255
## 105 106 107 108
## (Intercept) 0.1045127 0.43748759 0.09258506 0.12253354
## demo$med_condition_dependent1 0.0363127 -0.02464027 0.03489989 0.01744406
## 109 110 111 112
## (Intercept) 0.48704138 0.08916093 0.08916093 0.09194874
## demo$med_condition_dependent1 -0.02584752 0.02993450 0.02993450 0.03399981
## 113 114 115 116
## (Intercept) 0.1045127 0.08916093 0.5943849 0.1045127
## demo$med_condition_dependent1 0.0363127 0.02993450 -0.0314685 0.0363127
## 117 118 119 120
## (Intercept) 0.1045127 0.10530770 0.11913935 0.10486281
## demo$med_condition_dependent1 0.0363127 0.02221006 0.01871187 0.02176516
## 121 122 123 124
## (Intercept) 0.10170661 0.1045127 0.1045127 0.08841532
## demo$med_condition_dependent1 0.02836638 0.0363127 0.0363127 0.02628704
## 125 126 127 128
## (Intercept) 0.162417466 0.10199627 0.14445418 0.40913281
## demo$med_condition_dependent1 0.009367269 0.03174247 0.01571094 -0.01254009
## 129 130 131 132
## (Intercept) 0.1045127 0.1045127 0.216411693 0.09417573
## demo$med_condition_dependent1 0.0363127 0.0363127 -0.000924791 0.02629129
## 133 134 135 136
## (Intercept) 0.1045127 0.10263258 0.09417573 0.08580808
## demo$med_condition_dependent1 0.0363127 0.03264255 0.02629129 0.03080998
## 137 138 139 140
## (Intercept) 0.1045127 0.08580808 0.10414785 0.09769918
## demo$med_condition_dependent1 0.0363127 0.03080998 0.02770608 0.03462696
## 141 142 143 144
## (Intercept) 0.11008634 0.08841532 0.10444085 0.09194874
## demo$med_condition_dependent1 0.03192367 0.02628704 0.03119672 0.03399981
## 145 146 147 148
## (Intercept) 0.197202167 0.09207735 0.09942888 0.44079338
## demo$med_condition_dependent1 0.002151346 0.03160177 0.03347925 -0.02133448
## 149 150 151 152
## (Intercept) 0.5943849 0.10228139 0.10946508 0.1045127
## demo$med_condition_dependent1 -0.0314685 0.03016862 0.02131693 0.0363127
## 153 154 155 156
## (Intercept) 0.13709722 0.08841532 0.10439260 0.1045127
## demo$med_condition_dependent1 0.01370157 0.02628704 0.03323957 0.0363127
## 157 158 159 160
## (Intercept) 0.1045127 0.1045127 0.11514564 0.10816348
## demo$med_condition_dependent1 0.0363127 0.0363127 0.03285074 0.03096678
## 161 162 163 164
## (Intercept) 0.10155474 0.09194874 0.09971061 0.219903654
## demo$med_condition_dependent1 0.02300255 0.03399981 0.03663839 0.002567171
## 165 166 167 168
## (Intercept) 0.11886135 0.1045127 0.1045127 0.166260033
## demo$med_condition_dependent1 0.02234907 0.0363127 0.0363127 0.007700194
## 169 170 171 172
## (Intercept) 0.08653015 0.11913935 0.1419616 0.1443258
## demo$med_condition_dependent1 0.03423547 0.01871187 0.0132184 0.0155826
## 173 174 175 176
## (Intercept) 0.11868506 0.1045127 0.09258506 0.12943053
## demo$med_condition_dependent1 0.01825758 0.0363127 0.03489989 0.02332229
## 177 178 179 180
## (Intercept) 0.39256227 0.08841532 0.08841532 0.10720526
## demo$med_condition_dependent1 -0.02211761 0.02628704 0.02628704 0.02311521
## 181 182 183 184
## (Intercept) 0.1045127 0.1419616 0.08580808 0.1045127
## demo$med_condition_dependent1 0.0363127 0.0132184 0.03080998 0.0363127
## 185 186 187 188
## (Intercept) 0.1045127 0.245663827 0.1234148 0.08841532
## demo$med_condition_dependent1 0.0363127 -0.006592048 0.0177925 0.02628704
## 189 190 191 192
## (Intercept) 0.09194874 0.1045127 0.53925786 0.09913304
## demo$med_condition_dependent1 0.03399981 0.0363127 -0.02806716 0.03134928
## 193 194 195 196
## (Intercept) 0.1045127 0.1045127 0.08841532 0.10530770
## demo$med_condition_dependent1 0.0363127 0.0363127 0.02628704 0.02221006
## 197 198 199 200
## (Intercept) 0.08841532 0.186833581 0.09971061 0.1045127
## demo$med_condition_dependent1 0.02628704 0.002515084 0.03663839 0.0363127
## 201 202 203 204
## (Intercept) 0.16287687 0.10170661 0.10170661 0.1045127
## demo$med_condition_dependent1 0.01589335 0.02836638 0.02836638 0.0363127
## 205 206 207 208
## (Intercept) 0.10170661 0.5943849 0.1045127 0.09207735
## demo$med_condition_dependent1 0.02836638 -0.0314685 0.0363127 0.03160177
## 209 210 211 212
## (Intercept) 0.189494532 0.14687991 0.10206874 0.10720526
## demo$med_condition_dependent1 0.005176035 0.01335198 0.02684787 0.02311521
## 213 214 215 216
## (Intercept) 0.14149762 0.12583095 0.09417573 0.44330767
## demo$med_condition_dependent1 0.01275438 0.02020866 0.02629129 -0.01882019
## 217 218 219 220
## (Intercept) 0.17587800 0.09417573 0.1045127 0.1045127
## demo$med_condition_dependent1 0.01240416 0.02629129 0.0363127 0.0363127
## 221 222 223 224
## (Intercept) 0.1045127 0.1045127 0.1045127 0.53925786
## demo$med_condition_dependent1 0.0363127 0.0363127 0.0363127 -0.02806716
## 225 226 227 228
## (Intercept) 0.35080603 0.11868506 0.12497026 0.08580808
## demo$med_condition_dependent1 -0.01942321 0.01825758 0.02720261 0.03080998
## 229 230 231 232
## (Intercept) 0.08841532 0.09769918 0.39520399 0.1045127
## demo$med_condition_dependent1 0.02628704 0.03462696 -0.01947589 0.0363127
## 233 234 235 236
## (Intercept) 0.10530770 0.08653015 0.5943849 0.08841532
## demo$med_condition_dependent1 0.02221006 0.03423547 -0.0314685 0.02628704
## 237 238 239 240
## (Intercept) 0.09769918 0.08653015 0.33004019 0.39289722
## demo$med_condition_dependent1 0.03462696 0.03423547 -0.01063442 -0.02178267
## 241 242 243 244
## (Intercept) 0.08841532 0.10530770 0.08841532 0.1045127
## demo$med_condition_dependent1 0.02628704 0.02221006 0.02628704 0.0363127
## 245 246 247 248
## (Intercept) 0.168519066 0.10486281 0.35343958 0.14272789
## demo$med_condition_dependent1 0.009959227 0.02176516 -0.01678966 0.01398465
## 249 250 251 252
## (Intercept) 0.09417573 0.09908602 0.10444085 0.09913304
## demo$med_condition_dependent1 0.02629129 0.03576128 0.03119672 0.03134928
## 253 254 255 256
## (Intercept) 0.08841532 0.09769918 0.08841532 0.11868506
## demo$med_condition_dependent1 0.02628704 0.03462696 0.02628704 0.01825758
## 257 258 259 260
## (Intercept) 0.08653015 0.10944728 0.10444085 0.39597562
## demo$med_condition_dependent1 0.03423547 0.02867651 0.03119672 -0.01870426
## 261 262 263 264
## (Intercept) 0.09207735 0.21486079 0.27865430 0.43801015
## demo$med_condition_dependent1 0.03160177 -0.00247569 -0.01059224 -0.02411771
## 265 266 267 268
## (Intercept) 0.35343958 0.1045127 0.10155474 0.10946508
## demo$med_condition_dependent1 -0.01678966 0.0363127 0.02300255 0.02131693
## 269 270 271 272
## (Intercept) 0.09207735 0.09632682 0.09258506 0.27875508
## demo$med_condition_dependent1 0.03160177 0.02844238 0.03489989 -0.01049146
## 273 274 275 276
## (Intercept) 0.09258506 0.1045127 0.10529497 0.08580808
## demo$med_condition_dependent1 0.03489989 0.0363127 0.02563951 0.03080998
## 277 278 279 280
## (Intercept) 0.08841532 0.1045127 0.10480895 0.48610797
## demo$med_condition_dependent1 0.02628704 0.0363127 0.02865578 -0.02678093
## 281 282 283 284
## (Intercept) 0.10170661 0.5943849 0.1045127 0.1045127
## demo$med_condition_dependent1 0.02836638 -0.0314685 0.0363127 0.0363127
## 285 286 287 288
## (Intercept) 0.09769918 0.1045127 0.11868506 0.1045127
## demo$med_condition_dependent1 0.03462696 0.0363127 0.01825758 0.0363127
## 289 290 291 292
## (Intercept) 0.10155474 0.09632682 0.1045127 0.09737296
## demo$med_condition_dependent1 0.02300255 0.02844238 0.0363127 0.03142333
## 293 294 295 296
## (Intercept) 0.09971061 0.10486281 0.1045127 0.15251058
## demo$med_condition_dependent1 0.03663839 0.02176516 0.0363127 0.01363506
## 297 298 299 300
## (Intercept) 0.11008634 0.39320844 0.12415952 0.1045127
## demo$med_condition_dependent1 0.03192367 -0.02147145 0.01853723 0.0363127
## 301 302 303 304
## (Intercept) 0.09769918 0.1045127 0.09194874 0.09417573
## demo$med_condition_dependent1 0.03462696 0.0363127 0.03399981 0.02629129
## 305 306 307 308
## (Intercept) 0.176801220 0.09417573 0.12253354 0.08916093
## demo$med_condition_dependent1 0.007817734 0.02629129 0.01744406 0.02993450
## 309 310 311 312
## (Intercept) 0.09769918 0.27875508 0.09417573 0.247268752
## demo$med_condition_dependent1 0.03462696 -0.01049146 0.02629129 -0.004987122
##
## $f.perms
## [,1]
## [1,] 0.0819119223
## [2,] 0.1675481709
## [3,] 0.0931384453
## [4,] 0.6257347631
## [5,] 0.3345946726
## [6,] 0.4904006356
## [7,] 0.6057377886
## [8,] 0.2421302631
## [9,] 0.1611781111
## [10,] 0.1729634183
## [11,] 0.0779875139
## [12,] 0.4494387324
## [13,] 0.6917774113
## [14,] 0.0625686553
## [15,] 0.1528682487
## [16,] 1.0099074153
## [17,] -0.0076358279
## [18,] 0.1949740674
## [19,] 0.0688490989
## [20,] 3.6675451234
## [21,] 1.7093802490
## [22,] 1.8068277117
## [23,] 1.2120117092
## [24,] 0.9897645820
## [25,] 0.4259177141
## [26,] 1.4857452305
## [27,] 2.2238440689
## [28,] 2.8324575169
## [29,] 0.6388118705
## [30,] 0.0919282982
## [31,] 0.3046701961
## [32,] 0.7372302809
## [33,] 0.3133356024
## [34,] 0.5277993082
## [35,] 0.0582992346
## [36,] -0.0820758967
## [37,] 0.1582391236
## [38,] 0.3535360260
## [39,] 0.6110159740
## [40,] 1.2996477912
## [41,] 1.5975484310
## [42,] 0.3942426415
## [43,] 0.7226486277
## [44,] 0.0969388756
## [45,] 0.0934174409
## [46,] 0.3252094689
## [47,] 1.2485988042
## [48,] 0.5008584812
## [49,] 1.2310720562
## [50,] 0.4873378755
## [51,] 0.7686092268
## [52,] 1.2796985489
## [53,] 0.1177467713
## [54,] 2.6564633590
## [55,] 0.3152412350
## [56,] 1.0369419692
## [57,] 0.4551469953
## [58,] 1.2348154698
## [59,] 4.7905060672
## [60,] 0.5796494805
## [61,] 0.1159874751
## [62,] 0.6564086334
## [63,] 0.1778422277
## [64,] 0.1025976452
## [65,] 2.4205082759
## [66,] -0.0191334535
## [67,] 0.0875629787
## [68,] 2.9011388567
## [69,] -0.0055749599
## [70,] 0.2549520624
## [71,] 0.8748777562
## [72,] 9.0963071396
## [73,] 1.5152676223
## [74,] -0.0102815940
## [75,] 1.0523307504
## [76,] 0.4216653013
## [77,] 0.8817063545
## [78,] 1.0558136401
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## [996,] 2.2057770265
## [997,] 0.8897580428
## [998,] 7.5251725731
## [999,] 1.7250794260
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
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##
## $terms
## im ~ demo$med_condition_dependent
## attr(,"variables")
## list(im, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## im 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Self-Determination
Now, Self-Determination:
And an
Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0420 0.041965 1.7174 0.00551 0.171
## Residuals 310 7.5749 0.024435 0.99449
## Total 311 7.6168 1.00000
##
## $call
## adonis(formula = sd ~ demo$med_condition_dependent)
##
## $coefficients
## sd1 sd2 sd3 sd4
## (Intercept) 4.0383570 4.0061915 4.0682573 3.807309
## demo$med_condition_dependent1 -0.2343703 -0.1756267 -0.2044699 -0.192691
## sd5
## (Intercept) 3.8643914
## demo$med_condition_dependent1 -0.2265177
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.12740362 0.09920471 0.11504011 0.12788175
## demo$med_condition_dependent1 0.03180759 0.03148344 0.02233356 0.01800221
## 5 6 7 8
## (Intercept) 0.12740362 0.11207324 0.10015853 0.12740362
## demo$med_condition_dependent1 0.03180759 0.01347881 0.02321761 0.03180759
## 9 10 11 12
## (Intercept) 0.193605725 0.47584520 1.964107e-01 0.09215000
## demo$med_condition_dependent1 -0.002902555 -0.02359648 -9.759119e-05 0.03050182
## 13 14 15 16
## (Intercept) 0.09746497 0.08615703 0.12740362 0.08615703
## demo$med_condition_dependent1 0.02705320 0.02639334 0.03180759 0.02639334
## 17 18 19 20
## (Intercept) 0.08615703 0.150725468 0.10955062 0.11207324
## demo$med_condition_dependent1 0.02639334 0.003114931 0.03195262 0.01347881
## 21 22 23 24
## (Intercept) 0.127359736 0.224686581 0.36829547 0.10364558
## demo$med_condition_dependent1 0.009708808 -0.007322218 -0.02227695 0.02247624
## 25 26 27 28
## (Intercept) 0.08615703 0.58048722 0.09920471 0.11813981
## demo$med_condition_dependent1 0.02639334 -0.02719391 0.03148344 0.01954538
## 29 30 31 32
## (Intercept) 0.12740362 0.232404319 0.12299567 0.32425967
## demo$med_condition_dependent1 0.03180759 -0.006097987 0.02817949 -0.02097966
## 33 34 35 36
## (Intercept) 0.13102637 0.10014673 0.11209499 0.10263789
## demo$med_condition_dependent1 0.00894845 0.01897739 0.01782611 0.02635929
## 37 38 39 40
## (Intercept) 0.09566626 0.12740362 0.32425967 0.11971741
## demo$med_condition_dependent1 0.02525449 0.03180759 -0.02097966 0.03307386
## 41 42 43 44
## (Intercept) 0.12740362 0.11971741 0.11358729 0.11186953
## demo$med_condition_dependent1 0.03180759 0.03307386 0.03221692 0.03049916
## 45 46 47 48
## (Intercept) 0.12740362 0.167803197 0.147172243 0.32425967
## demo$med_condition_dependent1 0.03180759 -0.001267127 0.004909299 -0.02097966
## 49 50 51 52
## (Intercept) 0.136801290 0.10263789 0.58048722 0.10342386
## demo$med_condition_dependent1 0.009019135 0.02635929 -0.02719391 0.02156894
## 53 54 55 56
## (Intercept) 0.147172243 0.58048722 0.11209499 0.149799172
## demo$med_condition_dependent1 0.004909299 -0.02719391 0.01782611 0.007536228
## 57 58 59 60
## (Intercept) 0.10962498 0.09215000 0.10640901 0.13360539
## demo$med_condition_dependent1 0.02216095 0.03050182 0.02590209 0.01595446
## 61 62 63 64
## (Intercept) 0.10955062 0.10783286 0.08615703 0.17445079
## demo$med_condition_dependent1 0.03195262 0.03023486 0.02639334 0.00624627
## 65 66 67 68
## (Intercept) 0.11207324 0.197289059 0.12299567 0.161165022
## demo$med_condition_dependent1 0.01347881 -0.005488814 0.02817949 0.006874784
## 69 70 71 72
## (Intercept) 0.11325494 0.10014673 0.11769113 0.08615703
## demo$med_condition_dependent1 0.02765625 0.01897739 0.03070323 0.02639334
## 73 74 75 76
## (Intercept) 0.09750942 0.11209499 0.12740362 0.127359736
## demo$med_condition_dependent1 0.02125409 0.01782611 0.03180759 0.009708808
## 77 78 79 80
## (Intercept) 0.09215000 0.52134700 0.146962040 0.08615703
## demo$med_condition_dependent1 0.03050182 -0.02586529 0.003884499 0.02639334
## 81 82 83 84
## (Intercept) 0.12740362 0.12740362 0.32804274 0.13363749
## demo$med_condition_dependent1 0.03180759 0.03180759 -0.01719659 0.01002394
## 85 86 87 88
## (Intercept) 0.11566961 0.09746497 0.32425967 0.41982297
## demo$med_condition_dependent1 0.01707517 0.02705320 -0.02097966 -0.01927736
## 89 90 91 92
## (Intercept) 0.10474967 0.11838258 0.08615703 0.08615703
## demo$med_condition_dependent1 0.02884751 0.01473764 0.02639334 0.02639334
## 93 94 95 96
## (Intercept) 0.10263789 0.08615703 0.2076769685 0.1129046
## demo$med_condition_dependent1 0.02635929 0.02639334 -0.0007827228 0.0269460
## 97 98 99 100
## (Intercept) 0.12740362 0.41546675 0.09750942 0.09360500
## demo$med_condition_dependent1 0.03180759 -0.02363358 0.02125409 0.02752223
## 101 102 103 104
## (Intercept) 0.12740362 0.08615703 0.224081908 0.146962040
## demo$med_condition_dependent1 0.03180759 0.02639334 -0.007926891 0.003884499
## 105 106 107 108
## (Intercept) 0.12740362 0.175398576 0.09215000 0.22840768
## demo$med_condition_dependent1 0.03180759 0.001684412 0.03050182 -0.01009462
## 109 110 111 112
## (Intercept) 0.200564519 0.150725468 0.08615703 0.11803745
## demo$med_condition_dependent1 -0.002213354 0.003114931 0.02639334 0.03139389
## 113 114 115 116
## (Intercept) 0.08615703 0.10962498 0.10014673 0.195095831
## demo$med_condition_dependent1 0.02639334 0.02216095 0.01897739 0.009824466
## 117 118 119 120
## (Intercept) 0.10014673 0.11803745 0.127359736 0.10121853
## demo$med_condition_dependent1 0.01897739 0.03139389 0.009708808 0.02926894
## 121 122 123 124
## (Intercept) 0.08615703 0.1169412 0.11971741 0.12673790
## demo$med_condition_dependent1 0.02639334 0.0272103 0.03307386 0.02014117
## 125 126 127 128
## (Intercept) 0.11818569 0.11813981 0.260473735 0.167803197
## demo$med_condition_dependent1 0.01814134 0.01954538 -0.009224062 -0.001267127
## 129 130 131 132
## (Intercept) 0.11803745 0.12740362 0.10014673 0.14545250
## demo$med_condition_dependent1 0.03139389 0.03180759 0.01897739 0.01309876
## 133 134 135 136
## (Intercept) 0.32425967 0.12154742 0.11151914 0.12740362
## demo$med_condition_dependent1 -0.02097966 0.02350802 0.02978891 0.03180759
## 137 138 139 140
## (Intercept) 0.12740362 0.08615703 0.130811522 0.11769113
## demo$med_condition_dependent1 0.03180759 0.02639334 0.007965789 0.03070323
## 141 142 143 144
## (Intercept) 0.146962040 0.157993517 0.1169412 0.1745318459
## demo$med_condition_dependent1 0.003884499 0.005332475 0.0272103 -0.0005990838
## 145 146 147 148
## (Intercept) 0.224105790 0.10601862 0.08615703 0.32425967
## demo$med_condition_dependent1 -0.007903009 0.02339929 0.02639334 -0.02097966
## 149 150 151 152
## (Intercept) 0.46588405 0.223443250 0.1092010 0.12740362
## demo$med_condition_dependent1 -0.02529317 0.002444373 0.0259323 0.03180759
## 153 154 155 156
## (Intercept) 0.12157908 0.149799172 0.11504011 0.12740362
## demo$med_condition_dependent1 0.01267082 0.007536228 0.02233356 0.03180759
## 157 158 159 160
## (Intercept) 0.12740362 0.12740362 0.10014673 0.13084439
## demo$med_condition_dependent1 0.03180759 0.03180759 0.01897739 0.01242565
## 161 162 163 164
## (Intercept) 0.09750942 0.08615703 0.11186953 0.13102637
## demo$med_condition_dependent1 0.02125409 0.02639334 0.03049916 0.00894845
## 165 166 167 168
## (Intercept) 0.12740362 0.10121853 0.09920471 0.09360500
## demo$med_condition_dependent1 0.03180759 0.02926894 0.03148344 0.02752223
## 169 170 171 172
## (Intercept) 0.11803745 0.09566626 0.13102637 0.219780017
## demo$med_condition_dependent1 0.03139389 0.02525449 0.00894845 -0.005735276
## 173 174 175 176
## (Intercept) 0.192552024 0.09750942 0.32425967 0.182127225
## demo$med_condition_dependent1 -0.003956257 0.02125409 -0.02097966 0.002352454
## 177 178 179 180
## (Intercept) 0.32425967 0.32425967 0.15364888 0.08615703
## demo$med_condition_dependent1 -0.02097966 -0.02097966 0.00522374 0.02639334
## 181 182 183 184
## (Intercept) 0.11769113 0.10364558 0.12299567 0.208123368
## demo$med_condition_dependent1 0.03070323 0.02247624 0.02817949 0.001507674
## 185 186 187 188
## (Intercept) 0.11971741 0.147172243 0.1085208 0.29495330
## demo$med_condition_dependent1 0.03307386 0.004909299 0.0283903 -0.01483262
## 189 190 191 192
## (Intercept) 0.12299567 0.12740362 0.13360539 0.08615703
## demo$med_condition_dependent1 0.02817949 0.03180759 0.01595446 0.02639334
## 193 194 195 196
## (Intercept) 0.12740362 0.11769113 0.08615703 0.10263789
## demo$med_condition_dependent1 0.03180759 0.03070323 0.02639334 0.02635929
## 197 198 199 200
## (Intercept) 0.10783286 0.25640697 0.10015853 0.12740362
## demo$med_condition_dependent1 0.03023486 -0.01329082 0.02321761 0.03180759
## 201 202 203 204
## (Intercept) 0.08615703 0.12740362 0.10263789 0.11325494
## demo$med_condition_dependent1 0.02639334 0.03180759 0.02635929 0.02765625
## 205 206 207 208
## (Intercept) 0.167803197 0.58048722 0.11209499 0.13137152
## demo$med_condition_dependent1 -0.001267127 -0.02719391 0.01782611 0.02416115
## 209 210 211 212
## (Intercept) 0.09360500 0.09750942 0.08615703 0.10342386
## demo$med_condition_dependent1 0.02752223 0.02125409 0.02639334 0.02156894
## 213 214 215 216
## (Intercept) 0.10121853 0.12740362 0.11207324 0.52172683
## demo$med_condition_dependent1 0.02926894 0.03180759 0.01347881 -0.02548546
## 217 218 219 220
## (Intercept) 0.10364558 0.08615703 0.11829383 0.10783286
## demo$med_condition_dependent1 0.02247624 0.02639334 0.02115268 0.03023486
## 221 222 223 224
## (Intercept) 0.150725468 0.12740362 0.12740362 0.46559860
## demo$med_condition_dependent1 0.003114931 0.03180759 0.03180759 -0.02557862
## 225 226 227 228
## (Intercept) 0.253082053 0.10014673 0.11325494 0.10439519
## demo$med_condition_dependent1 -0.009881737 0.01897739 0.02765625 0.02811659
## 229 230 231 232
## (Intercept) 0.11325494 0.10783286 0.28724796 0.10955062
## demo$med_condition_dependent1 0.02765625 0.03023486 -0.01554496 0.03195262
## 233 234 235 236
## (Intercept) 0.178111596 0.11182975 0.32425967 0.08615703
## demo$med_condition_dependent1 0.004397431 0.02477895 -0.02097966 0.02639334
## 237 238 239 240
## (Intercept) 0.08615703 0.13105924 0.11207324 0.1335725
## demo$med_condition_dependent1 0.02639334 0.01340831 0.01347881 0.0114946
## 241 242 243 244
## (Intercept) 0.08615703 0.13452341 0.1085208 0.12740362
## demo$med_condition_dependent1 0.02639334 0.01244549 0.0283903 0.03180759
## 245 246 247 248
## (Intercept) 0.32425967 0.193605725 0.09750942 0.10783286
## demo$med_condition_dependent1 -0.02097966 -0.002902555 0.02125409 0.03023486
## 249 250 251 252
## (Intercept) 0.08615703 0.12740362 0.09750942 0.12611587
## demo$med_condition_dependent1 0.02639334 0.03180759 0.02125409 0.01652202
## 253 254 255 256
## (Intercept) 0.174440903 0.09360500 0.10014673 0.13363749
## demo$med_condition_dependent1 0.005370579 0.02752223 0.01897739 0.01002394
## 257 258 259 260
## (Intercept) 0.09566626 0.09215000 0.1067635 0.1085208
## demo$med_condition_dependent1 0.02525449 0.03050182 0.0266330 0.0283903
## 261 262 263 264
## (Intercept) 0.08615703 0.146962040 0.127359736 0.58048722
## demo$med_condition_dependent1 0.02639334 0.003884499 0.009708808 -0.02719391
## 265 266 267 268
## (Intercept) 0.58048722 0.12740362 0.167803197 0.1129046
## demo$med_condition_dependent1 -0.02719391 0.03180759 -0.001267127 0.0269460
## 269 270 271 272
## (Intercept) 0.178316168 0.08615703 0.08615703 0.08615703
## demo$med_condition_dependent1 0.005467804 0.02639334 0.02639334 0.02639334
## 273 274 275 276
## (Intercept) 0.13477192 0.12034999 0.1335725 0.1092010
## demo$med_condition_dependent1 0.01946192 0.02292594 0.0114946 0.0259323
## 277 278 279 280
## (Intercept) 0.08615703 0.10297583 0.09360500 0.32425967
## demo$med_condition_dependent1 0.02639334 0.03102624 0.02752223 -0.02097966
## 281 282 283 284
## (Intercept) 0.08615703 0.10783286 0.167803197 0.11649512
## demo$med_condition_dependent1 0.02639334 0.03023486 -0.001267127 0.01935398
## 285 286 287 288
## (Intercept) 0.12740362 0.157993517 0.13105924 0.09215000
## demo$med_condition_dependent1 0.03180759 0.005332475 0.01340831 0.03050182
## 289 290 291 292
## (Intercept) 0.13451102 0.16442920 0.12740362 0.10263789
## demo$med_condition_dependent1 0.01166529 0.01176815 0.03180759 0.02635929
## 293 294 295 296
## (Intercept) 0.12740362 0.11209499 0.08615703 0.1363679
## demo$med_condition_dependent1 0.03180759 0.01782611 0.02639334 0.0289610
## 297 298 299 300
## (Intercept) 0.11971741 0.41489920 0.15360792 0.12740362
## demo$med_condition_dependent1 0.03307386 -0.02420114 0.01134498 0.03180759
## 301 302 303 304
## (Intercept) 0.12740362 0.161047486 0.10342386 0.12154742
## demo$med_condition_dependent1 0.03180759 0.007571846 0.02156894 0.02350802
## 305 306 307 308
## (Intercept) 0.12841042 0.10263789 0.10121853 0.3680007
## demo$med_condition_dependent1 0.01419464 0.02635929 0.02926894 -0.0225717
## 309 310 311 312
## (Intercept) 0.204066907 0.29135057 0.11818569 0.11207324
## demo$med_condition_dependent1 -0.003470785 -0.01843535 0.01814134 0.01347881
##
## $f.perms
## [,1]
## [1,] 2.118985391
## [2,] 0.857456036
## [3,] 2.767341855
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## [6,] 1.062426156
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## [9,] 1.006324958
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## [24,] 1.495461441
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## [37,] 0.295474213
## [38,] 0.781915794
## [39,] 0.176241203
## [40,] 1.637895533
## [41,] 1.183028814
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## [50,] 0.520198163
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## [52,] 0.328796402
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## [54,] 5.637802714
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## [57,] 0.292313439
## [58,] 1.291725346
## [59,] 7.740853832
## [60,] 3.859398476
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## [66,] 0.230079062
## [67,] 1.829254107
## [68,] -0.031739359
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## [71,] 1.607941340
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## [73,] 1.147467546
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## [76,] 0.004530004
## [77,] 0.299896258
## [78,] 3.279572430
## [79,] 1.577857912
## [80,] 1.391904699
## [81,] 0.656493683
## [82,] 1.176350668
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## [85,] 0.063765415
## [86,] 0.768134900
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## [88,] 1.740267030
## [89,] 0.091922112
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## [91,] 0.447269925
## [92,] 0.694097922
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## [94,] 0.622540018
## [95,] 0.153115497
## [96,] 0.325139764
## [97,] 0.342482216
## [98,] 2.004117617
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## [100,] 2.248727075
## [101,] 0.530374409
## [102,] 0.294458359
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## [104,] 2.760246917
## [105,] 1.760679819
## [106,] 3.054683573
## [107,] 0.139530253
## [108,] 0.174301027
## [109,] 0.177037244
## [110,] 1.063934615
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## [967,] 2.079964701
## [968,] 0.621615951
## [969,] 0.576538008
## [970,] 2.035537796
## [971,] 2.041176050
## [972,] 3.021879624
## [973,] 0.839668313
## [974,] 0.063943953
## [975,] 0.075612075
## [976,] 0.936428563
## [977,] 1.620803655
## [978,] 0.241156852
## [979,] 1.677630297
## [980,] 0.189683628
## [981,] 1.317035595
## [982,] 0.920043026
## [983,] 0.099608401
## [984,] 1.266571067
## [985,] 1.454877583
## [986,] 0.326698814
## [987,] 2.271960934
## [988,] 0.656257298
## [989,] 0.570364249
## [990,] 0.923634887
## [991,] 0.623954929
## [992,] 0.085817532
## [993,] 0.615679525
## [994,] 1.628062424
## [995,] 0.345001784
## [996,] 0.418043336
## [997,] 1.645505052
## [998,] 0.175270475
## [999,] 0.060974149
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
## 5 1 1
## 6 1 1
## 7 1 1
## 8 1 1
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## 54 1 1
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## 57 1 1
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## 59 1 1
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## 61 1 1
## 62 1 1
## 63 1 -1
## 64 1 1
## 65 1 1
## 66 1 1
## 67 1 1
## 68 1 1
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## 72 1 1
## 73 1 1
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## 75 1 1
## 76 1 1
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## 82 1 1
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## 226 1 1
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## 310 1 1
## 311 1 1
## 312 1 1
##
## $terms
## sd ~ demo$med_condition_dependent
## attr(,"variables")
## list(sd, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## sd 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Self-Efficacy
Now, Self-Efficacy:
And an
Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0148 0.014818 0.5876 0.00189 0.51
## Residuals 310 7.8177 0.025219 0.99811
## Total 311 7.8325 1.00000
##
## $call
## adonis(formula = se ~ demo$med_condition_dependent)
##
## $coefficients
## self_determition_ave se1 se2
## (Intercept) 3.9569012 3.84491090 4.14406524
## demo$med_condition_dependent1 -0.2067351 -0.06418001 -0.03775294
## se3 se4 se5
## (Intercept) 3.75400181 4.01389308 4.2704621
## demo$med_condition_dependent1 0.02672908 -0.07701601 -0.1840834
## self_efficacy_ave
## (Intercept) 4.00546663
## demo$med_condition_dependent1 -0.06726065
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.12230758 0.10015054 0.09289233 0.1016349
## demo$med_condition_dependent1 0.01606232 0.01700341 0.01584099 0.0153994
## 5 6 7 8
## (Intercept) 0.12230758 0.11423199 0.16174672 0.12230758
## demo$med_condition_dependent1 0.01606232 0.01569859 0.01735486 0.01606232
## 9 10 11 12
## (Intercept) 0.10651666 0.56576834 0.11550020 0.09319214
## demo$med_condition_dependent1 0.01082546 -0.01633069 0.01051963 0.01521825
## 13 14 15 16
## (Intercept) 0.09289233 0.09249182 0.10938578 0.09249182
## demo$med_condition_dependent1 0.01584099 0.01565760 0.01610492 0.01565760
## 17 18 19 20
## (Intercept) 0.11644879 0.1004957 0.11893609 0.10626870
## demo$med_condition_dependent1 0.01557695 0.0118237 0.01560096 0.01497673
## 21 22 23 24
## (Intercept) 0.09801114 0.1835841 0.139575106 0.10186690
## demo$med_condition_dependent1 0.01244538 0.0114461 0.009381576 0.01646027
## 25 26 27 28
## (Intercept) 0.09249182 0.58348840 0.10355526 0.23659186
## demo$med_condition_dependent1 0.01565760 -0.01660405 0.01342114 0.00933037
## 29 30 31 32
## (Intercept) 0.12230758 0.139969567 0.11238034 0.54063906
## demo$med_condition_dependent1 0.01606232 0.007630373 0.01598317 -0.01522833
## 33 34 35 36
## (Intercept) 0.11665891 0.10217458 0.16275512 0.11239962
## demo$med_condition_dependent1 0.01479385 0.01709991 0.01528618 0.01556053
## 37 38 39 40
## (Intercept) 0.11669972 0.09954674 0.54063906 0.10687305
## demo$med_condition_dependent1 0.01573653 0.01623285 -0.01522833 0.01607703
## 41 42 43 44
## (Intercept) 0.10515274 0.11030073 0.10009707 0.10441009
## demo$med_condition_dependent1 0.01754266 0.01464886 0.01809457 0.01701206
## 45 46 47 48
## (Intercept) 0.12230758 0.15681339 0.452708814 0.332359141
## demo$med_condition_dependent1 0.01606232 0.01237645 -0.007665289 -0.002721983
## 49 50 51 52
## (Intercept) 0.11423199 0.09410454 0.58348840 0.20576456
## demo$med_condition_dependent1 0.01569859 0.01562883 -0.01660405 0.01247865
## 53 54 55 56
## (Intercept) 0.10030355 0.58348840 0.09550090 0.10030355
## demo$med_condition_dependent1 0.01237646 -0.01660405 0.01387978 0.01237646
## 57 58 59 60
## (Intercept) 0.09281034 0.10716064 0.09384700 0.16417519
## demo$med_condition_dependent1 0.01503779 0.01719188 0.01821283 0.01139307
## 61 62 63 64
## (Intercept) 0.10951178 0.10493868 0.09281034 0.12233337
## demo$med_condition_dependent1 0.01704726 0.01852826 0.01503779 0.01373155
## 65 66 67 68
## (Intercept) 0.12604158 0.3110153045 0.12040508 0.1239356
## demo$med_condition_dependent1 0.01253176 0.0006726023 0.01589593 0.0126461
## 69 70 71 72
## (Intercept) 0.09559819 0.12978564 0.12042581 0.09281034
## demo$med_condition_dependent1 0.01570887 0.01496046 0.01880866 0.01503779
## 73 74 75 76
## (Intercept) 0.11776608 0.1449214 0.12230758 0.11195737
## demo$med_condition_dependent1 0.01463544 0.0156891 0.01606232 0.01462953
## 77 78 79 80
## (Intercept) 0.11669972 0.57454255 0.13906426 0.11644879
## demo$med_condition_dependent1 0.01573653 -0.01650145 0.01199541 0.01557695
## 81 82 83 84
## (Intercept) 0.11301773 0.09954674 0.386137473 0.09777423
## demo$med_condition_dependent1 0.01751067 0.01623285 -0.003413342 0.01301117
## 85 86 87 88
## (Intercept) 0.09550090 0.10193010 0.12977709 0.55720190
## demo$med_condition_dependent1 0.01387978 0.01676257 0.01145704 -0.01605387
## 89 90 91 92
## (Intercept) 0.10216177 0.09524212 0.09871970 0.09228165
## demo$med_condition_dependent1 0.01484218 0.01654757 0.01705014 0.01826441
## 93 94 95 96
## (Intercept) 0.09820841 0.15896682 0.1296734 0.11893609
## demo$med_condition_dependent1 0.01585831 0.01728776 0.0117461 0.01560096
## 97 98 99 100
## (Intercept) 0.10383043 0.344566616 0.12477818 0.09319214
## demo$med_condition_dependent1 0.01857377 -0.003241602 0.01781135 0.01521825
## 101 102 103 104
## (Intercept) 0.10515274 0.11644879 0.253149420 0.11011358
## demo$med_condition_dependent1 0.01754266 0.01557695 0.006293269 0.01231917
## 105 106 107 108
## (Intercept) 0.12230758 0.30513243 0.10087443 0.153741117
## demo$med_condition_dependent1 0.01606232 0.00083014 0.01770978 0.009317313
## 109 110 111 112
## (Intercept) 0.10643985 0.155533366 0.16381391 0.12040508
## demo$med_condition_dependent1 0.01135671 0.008663032 0.01418074 0.01589593
## 113 114 115 116
## (Intercept) 0.09249182 0.09281034 0.23432608 0.1239356
## demo$med_condition_dependent1 0.01565760 0.01503779 0.01031256 0.0126461
## 117 118 119 120
## (Intercept) 0.10295154 0.13294604 0.11780843 0.288259944
## demo$med_condition_dependent1 0.01601582 0.01556763 0.01594336 0.006126889
## 121 122 123 124
## (Intercept) 0.09249182 0.09559819 0.12040508 0.12774950
## demo$med_condition_dependent1 0.01565760 0.01570887 0.01589593 0.01772224
## 125 126 127 128
## (Intercept) 0.16765322 0.11938848 0.11370716 0.13262361
## demo$med_condition_dependent1 0.01626231 0.01398517 0.01231009 0.00885767
## 129 130 131 132
## (Intercept) 0.12040508 0.11435001 0.17160009 0.12419568
## demo$med_condition_dependent1 0.01589593 0.01615333 0.01093054 0.01330051
## 133 134 135 136
## (Intercept) 0.14310919 0.09493152 0.09582363 0.12230758
## demo$med_condition_dependent1 0.01027029 0.01720162 0.01508972 0.01606232
## 137 138 139 140
## (Intercept) 0.11168261 0.1013573 0.14756386 0.11238034
## demo$med_condition_dependent1 0.01828957 0.0148366 0.01473581 0.01598317
## 141 142 143 144
## (Intercept) 0.12648536 0.16858272 0.11893609 0.11300101
## demo$med_condition_dependent1 0.01296603 0.01358451 0.01560096 0.01192027
## 145 146 147 148
## (Intercept) 0.10993149 0.10686800 0.11644879 0.275861871
## demo$med_condition_dependent1 0.01084948 0.01703276 0.01557695 0.002863165
## 149 150 151 152
## (Intercept) 0.51777809 0.122441731 0.16381391 0.12230758
## demo$med_condition_dependent1 -0.01272696 0.009643118 0.01418074 0.01606232
## 153 154 155 156
## (Intercept) 0.09382701 0.10482149 0.09905190 0.12230758
## demo$med_condition_dependent1 0.01460733 0.01498874 0.01721329 0.01606232
## 157 158 159 160
## (Intercept) 0.12230758 0.12230758 0.10001851 0.13942816
## demo$med_condition_dependent1 0.01606232 0.01606232 0.01607322 0.01442855
## 161 162 163 164
## (Intercept) 0.10381165 0.09871970 0.11369263 0.09801114
## demo$med_condition_dependent1 0.01487099 0.01705014 0.01562728 0.01244538
## 165 166 167 168
## (Intercept) 0.12230758 0.09919987 0.10015054 0.09289233
## demo$med_condition_dependent1 0.01606232 0.01490051 0.01700341 0.01584099
## 169 170 171 172
## (Intercept) 0.12040508 0.10850871 0.12154741 0.131950952
## demo$med_condition_dependent1 0.01589593 0.01581812 0.01321039 0.008953278
## 173 174 175 176
## (Intercept) 0.10651666 0.09359625 0.1257835 0.12656384
## demo$med_condition_dependent1 0.01082546 0.01724800 0.0115445 0.01230295
## 177 178 179 180
## (Intercept) 0.4930120 0.162548427 0.1140947 0.09871970
## demo$med_condition_dependent1 -0.0129568 0.008273553 0.0123225 0.01705014
## 181 182 183 184
## (Intercept) 0.09733474 0.14355874 0.11104414 0.14872513
## demo$med_condition_dependent1 0.01604244 0.01447735 0.01734458 0.01238249
## 185 186 187 188
## (Intercept) 0.11787732 0.13680856 0.09436993 0.12747413
## demo$med_condition_dependent1 0.01735508 0.01636936 0.01501094 0.01029903
## 189 190 191 192
## (Intercept) 0.12040508 0.12230758 0.21119893 0.11644879
## demo$med_condition_dependent1 0.01589593 0.01606232 0.01053311 0.01557695
## 193 194 195 196
## (Intercept) 0.12230758 0.11104414 0.10585173 0.1082059
## demo$med_condition_dependent1 0.01606232 0.01734458 0.01472622 0.0169849
## 197 198 199 200
## (Intercept) 0.09634748 0.140279378 0.11776608 0.12230758
## demo$med_condition_dependent1 0.01726873 0.008949309 0.01463544 0.01606232
## 201 202 203 204
## (Intercept) 0.09249182 0.10010548 0.09410454 0.1099390
## demo$med_condition_dependent1 0.01565760 0.01775388 0.01562883 0.0133797
## 205 206 207 208
## (Intercept) 0.12169750 0.58348840 0.10787340 0.11283442
## demo$med_condition_dependent1 0.01479296 -0.01660405 0.01659713 0.01332349
## 209 210 211 212
## (Intercept) 0.09806969 0.1135749 0.10301985 0.09472148
## demo$med_condition_dependent1 0.01510500 0.0175946 0.01558957 0.01625013
## 213 214 215 216
## (Intercept) 0.12257855 0.10383043 0.15303029 0.14939230
## demo$med_condition_dependent1 0.01277362 0.01857377 0.01582349 0.01036134
## 217 218 219 220
## (Intercept) 0.11776608 0.09228165 0.11669972 0.10851008
## demo$med_condition_dependent1 0.01463544 0.01826441 0.01573653 0.01731126
## 221 222 223 224
## (Intercept) 0.13442696 0.12230758 0.12230758 0.162149126
## demo$med_condition_dependent1 0.01685048 0.01606232 0.01606232 0.005350018
## 225 226 227 228
## (Intercept) 0.18439304 0.10381165 0.1100178 0.09410454
## demo$med_condition_dependent1 0.01134208 0.01487099 0.0133685 0.01562883
## 229 230 231 232
## (Intercept) 0.09530353 0.11893609 0.362533312 0.10951178
## demo$med_condition_dependent1 0.01827939 0.01560096 -0.004832853 0.01704726
## 233 234 235 236
## (Intercept) 0.11002917 0.11289514 0.54063906 0.09249182
## demo$med_condition_dependent1 0.01636579 0.02008124 -0.01522833 0.01565760
## 237 238 239 240
## (Intercept) 0.09342160 0.10750113 0.16765322 0.246502532
## demo$med_condition_dependent1 0.01724784 0.01296956 0.01626231 0.005745431
## 241 242 243 244
## (Intercept) 0.09249182 0.144688528 0.10264938 0.12230758
## demo$med_condition_dependent1 0.01565760 0.008287227 0.01434981 0.01606232
## 245 246 247 248
## (Intercept) 0.14688448 0.206073477 0.09412786 0.13125503
## demo$med_condition_dependent1 0.00701279 0.009373932 0.01400889 0.01615613
## 249 250 251 252
## (Intercept) 0.23195451 0.09954674 0.12419568 0.10817435
## demo$med_condition_dependent1 0.01156882 0.01623285 0.01330051 0.01607614
## 253 254 255 256
## (Intercept) 0.11699848 0.10850871 0.1164654 0.0985421
## demo$med_condition_dependent1 0.01192267 0.01581812 0.0164549 0.0147396
## 257 258 259 260
## (Intercept) 0.11669972 0.11669972 0.11768985 0.477532427
## demo$med_condition_dependent1 0.01573653 0.01573653 0.01553668 -0.003494375
## 261 262 263 264
## (Intercept) 0.09249182 0.11011358 0.09777423 0.34175012
## demo$med_condition_dependent1 0.01565760 0.01231917 0.01301117 -0.00199896
## 265 266 267 268
## (Intercept) 0.48654828 0.12230758 0.11413203 0.11893609
## demo$med_condition_dependent1 -0.01141832 0.01606232 0.01305129 0.01560096
## 269 270 271 272
## (Intercept) 0.18762409 0.10210406 0.09720877 0.1392501
## demo$med_condition_dependent1 0.01829234 0.01344025 0.01808277 0.0193443
## 273 274 275 276
## (Intercept) 0.14929067 0.11669972 0.221126077 0.13990698
## demo$med_condition_dependent1 0.01489327 0.01573653 0.007256602 0.02028332
## 277 278 279 280
## (Intercept) 0.09249182 0.09493152 0.09704365 0.368570635
## demo$med_condition_dependent1 0.01565760 0.01720162 0.01606879 -0.005443186
## 281 282 283 284
## (Intercept) 0.15896682 0.09582363 0.1031011 0.09905190
## demo$med_condition_dependent1 0.01728776 0.01508972 0.0119876 0.01721329
## 285 286 287 288
## (Intercept) 0.10515274 0.10854706 0.10676334 0.11669972
## demo$med_condition_dependent1 0.01754266 0.01419617 0.01453696 0.01573653
## 289 290 291 292
## (Intercept) 0.12917253 0.11572525 0.12230758 0.10355526
## demo$med_condition_dependent1 0.01611998 0.01266246 0.01606232 0.01342114
## 293 294 295 296
## (Intercept) 0.12230758 0.09550090 0.10686800 0.10287806
## demo$med_condition_dependent1 0.01606232 0.01387978 0.01703276 0.01668638
## 297 298 299 300
## (Intercept) 0.10535374 0.55720190 0.1239356 0.12230758
## demo$med_condition_dependent1 0.01789997 -0.01605387 0.0126461 0.01606232
## 301 302 303 304
## (Intercept) 0.12230758 0.11124007 0.09382701 0.11768985
## demo$med_condition_dependent1 0.01606232 0.01344566 0.01460733 0.01553668
## 305 306 307 308
## (Intercept) 0.10202627 0.10355526 0.09493152 0.277411054
## demo$med_condition_dependent1 0.01567849 0.01342114 0.01720162 0.003539123
## 309 310 311 312
## (Intercept) 0.11075688 0.263721478 0.09550090 0.18402234
## demo$med_condition_dependent1 0.01403959 0.005788772 0.01387978 0.01350465
##
## $f.perms
## [,1]
## [1,] 0.826283603
## [2,] 0.562996217
## [3,] 1.308205843
## [4,] 0.223395520
## [5,] 0.093313023
## [6,] 0.117018162
## [7,] 0.421187573
## [8,] 0.274811540
## [9,] 0.884806509
## [10,] 0.506762728
## [11,] 0.873352797
## [12,] 0.275682308
## [13,] 0.162713106
## [14,] 1.193046069
## [15,] 0.235791488
## [16,] 0.209054936
## [17,] 0.449869027
## [18,] 0.376172410
## [19,] 0.278626375
## [20,] 0.213278905
## [21,] 2.241742035
## [22,] 0.616251598
## [23,] 1.860317475
## [24,] 0.710641850
## [25,] 0.849829556
## [26,] 0.316422057
## [27,] 0.872202221
## [28,] 2.193369760
## [29,] 0.448817820
## [30,] 0.681163765
## [31,] 0.213098250
## [32,] 0.164118787
## [33,] 0.228851941
## [34,] 0.320751741
## [35,] 0.118386261
## [36,] 0.551949479
## [37,] 0.535147669
## [38,] 0.026763075
## [39,] 1.688821346
## [40,] 1.457765772
## [41,] 0.948109167
## [42,] 0.176288092
## [43,] 0.523857274
## [44,] 0.130358911
## [45,] 0.296105491
## [46,] 0.328874730
## [47,] 1.673022562
## [48,] 0.383494638
## [49,] 0.920020378
## [50,] 1.262970090
## [51,] 1.434401508
## [52,] 0.139446550
## [53,] 0.090670028
## [54,] 0.692680708
## [55,] 1.415181044
## [56,] 0.252750155
## [57,] 0.537110319
## [58,] 1.177055280
## [59,] 6.449213756
## [60,] 3.973519073
## [61,] 0.364296734
## [62,] 1.232305832
## [63,] 0.224511318
## [64,] 0.798811477
## [65,] 0.285710574
## [66,] 0.059719050
## [67,] 1.174488895
## [68,] 0.594572974
## [69,] 0.636213263
## [70,] 0.534975914
## [71,] 1.068946935
## [72,] 4.376449468
## [73,] 3.250801370
## [74,] 0.698857517
## [75,] 0.327689707
## [76,] 0.249500091
## [77,] 0.291398457
## [78,] 2.511608577
## [79,] 0.869957189
## [80,] 0.698228748
## [81,] 0.197456148
## [82,] 2.446631345
## [83,] 0.096710347
## [84,] 4.124651613
## [85,] 0.317187220
## [86,] 0.383666424
## [87,] 0.550419634
## [88,] 0.613937862
## [89,] 0.135103572
## [90,] 1.357971875
## [91,] 0.121177820
## [92,] 1.641227371
## [93,] 0.725064875
## [94,] 1.654155438
## [95,] 0.242453578
## [96,] 0.470710794
## [97,] 0.455900733
## [98,] 0.208664342
## [99,] 0.231141302
## [100,] 0.466369461
## [101,] 1.664472663
## [102,] 0.543268174
## [103,] 0.172582043
## [104,] 1.643783588
## [105,] 0.565379139
## [106,] 0.521742633
## [107,] 0.431169783
## [108,] 2.018668064
## [109,] 1.108637718
## [110,] 1.210738868
## [111,] 0.058311825
## [112,] 0.998272190
## [113,] 2.072609814
## [114,] 3.828346562
## [115,] 0.663760619
## [116,] 0.106339118
## [117,] 1.541229812
## [118,] 0.325912070
## [119,] 0.809818559
## [120,] 0.131442633
## [121,] 0.353231497
## [122,] 0.217321268
## [123,] 0.137178120
## [124,] 0.155688617
## [125,] 1.677120023
## [126,] 0.277671915
## [127,] 0.101983336
## [128,] 0.362838377
## [129,] 0.252843479
## [130,] 3.023182503
## [131,] 1.326937324
## [132,] 0.771193667
## [133,] 0.937363888
## [134,] 0.034514383
## [135,] 0.277596606
## [136,] -0.023953911
## [137,] 0.691720230
## [138,] 0.286435403
## [139,] 0.082922152
## [140,] 0.409864318
## [141,] 0.962222082
## [142,] 0.815693376
## [143,] 0.143601901
## [144,] 0.690372297
## [145,] 0.221763654
## [146,] 0.342510023
## [147,] 0.042318049
## [148,] 1.416874140
## [149,] 1.159413218
## [150,] 0.480267633
## [151,] 0.873986952
## [152,] 1.385666810
## [153,] 3.169522115
## [154,] 0.856492978
## [155,] 0.267414964
## [156,] 0.943724976
## [157,] 1.246175721
## [158,] 0.919904578
## [159,] 0.336654249
## [160,] 3.072039428
## [161,] 0.284734473
## [162,] 12.247450803
## [163,] 1.576557051
## [164,] 0.717161156
## [165,] 0.908151162
## [166,] 0.811085898
## [167,] 0.292125822
## [168,] 0.390423860
## [169,] 1.433487196
## [170,] 0.715022620
## [171,] 1.465376419
## [172,] 0.880851920
## [173,] 2.503688386
## [174,] 0.691756520
## [175,] 0.663926223
## [176,] 0.506173603
## [177,] 0.610164295
## [178,] 0.403897092
## [179,] 1.988261009
## [180,] 2.782865877
## [181,] 1.038238457
## [182,] 0.801978941
## [183,] 0.058942971
## [184,] 8.237068614
## [185,] 1.704878091
## [186,] 0.241039217
## [187,] 0.393563844
## [188,] 0.425271982
## [189,] 1.567794404
## [190,] 1.565122028
## [191,] 0.706705192
## [192,] 0.641622127
## [193,] 0.142733988
## [194,] 0.255514520
## [195,] 0.021878389
## [196,] 4.586513824
## [197,] -0.058426077
## [198,] 0.298410002
## [199,] 0.346162733
## [200,] 0.175767355
## [201,] 0.580609763
## [202,] 1.072684018
## [203,] 0.429315715
## [204,] 0.308565420
## [205,] 0.691662477
## [206,] 1.270819285
## [207,] 0.517512820
## [208,] 4.726138930
## [209,] 1.344790880
## [210,] 0.211209927
## [211,] 0.180518116
## [212,] 0.234545517
## [213,] 0.793945513
## [214,] 2.947590859
## [215,] 1.085932552
## [216,] 0.201038314
## [217,] 1.224539316
## [218,] 2.828862686
## [219,] 11.830606837
## [220,] 0.660472130
## [221,] 1.542963564
## [222,] 0.980639360
## [223,] 9.829349109
## [224,] 3.514247974
## [225,] 2.918212134
## [226,] 0.451720981
## [227,] 0.691551160
## [228,] 0.239924456
## [229,] 4.914091601
## [230,] 0.197061078
## [231,] 0.820366402
## [232,] 0.897427638
## [233,] 1.221456489
## [234,] -0.018452428
## [235,] 0.200543054
## [236,] 0.899710469
## [237,] 1.285213319
## [238,] 0.151096395
## [239,] 1.785558933
## [240,] 0.784422786
## [241,] 0.416112175
## [242,] 0.343668265
## [243,] 5.599756134
## [244,] 0.425792121
## [245,] 0.694633841
## [246,] 1.144796420
## [247,] 0.696899609
## [248,] 0.209970098
## [249,] 0.175801183
## [250,] 5.324794537
## [251,] 1.220918299
## [252,] 0.108294903
## [253,] 0.547515351
## [254,] 0.480068816
## [255,] 0.862353898
## [256,] 0.185512788
## [257,] 0.808398487
## [258,] 0.745938045
## [259,] 1.094945005
## [260,] 1.188111566
## [261,] 0.356566342
## [262,] 0.139196827
## [263,] 3.562836667
## [264,] 0.236092447
## [265,] 0.746305502
## [266,] 2.008275978
## [267,] 0.737545734
## [268,] 0.359437363
## [269,] 0.267657400
## [270,] 0.526558367
## [271,] 2.049846993
## [272,] 1.430378000
## [273,] 0.246692087
## [274,] 2.771071307
## [275,] 0.708628241
## [276,] 0.321355360
## [277,] 4.029808548
## [278,] 2.560079126
## [279,] 0.220159398
## [280,] 4.316518019
## [281,] 3.284702368
## [282,] 1.295304397
## [283,] 0.996812880
## [284,] 1.258988844
## [285,] 1.017101142
## [286,] 0.535097870
## [287,] 0.391552462
## [288,] 1.780529247
## [289,] 3.732738743
## [290,] 1.412634909
## [291,] 0.176955078
## [292,] 0.580906778
## [293,] 0.741499908
## [294,] -0.105035019
## [295,] 0.413116572
## [296,] 0.618351485
## [297,] 0.179967847
## [298,] 0.334231823
## [299,] 1.051225463
## [300,] 0.276881778
## [301,] 0.335916146
## [302,] 0.440491171
## [303,] 0.608424338
## [304,] 0.632446778
## [305,] 0.339112402
## [306,] 3.721270366
## [307,] 0.329247822
## [308,] 0.450740303
## [309,] 0.629371484
## [310,] 0.699637893
## [311,] 0.234557018
## [312,] 0.087436064
## [313,] 0.439892834
## [314,] 1.485059420
## [315,] 0.787851470
## [316,] 0.998601839
## [317,] 0.183644726
## [318,] 0.474792294
## [319,] 0.091157429
## [320,] 0.355817616
## [321,] -0.034990088
## [322,] 1.604843023
## [323,] 1.030774642
## [324,] 0.179139446
## [325,] 1.453741632
## [326,] 1.007385268
## [327,] 10.670108440
## [328,] 0.667644759
## [329,] 0.458770876
## [330,] 0.581426607
## [331,] 0.872555875
## [332,] 1.102473779
## [333,] 6.793047384
## [334,] 0.458911475
## [335,] -0.039364610
## [336,] 0.384606677
## [337,] 1.569152314
## [338,] 0.559567296
## [339,] 1.131193150
## [340,] 0.065427022
## [341,] 2.797768330
## [342,] 0.010090322
## [343,] 0.008442397
## [344,] 3.595136585
## [345,] 1.259421539
## [346,] 0.020295958
## [347,] 0.833955391
## [348,] 0.514450618
## [349,] 2.381925479
## [350,] 1.336959465
## [351,] 0.684470620
## [352,] 0.511023742
## [353,] 0.546299733
## [354,] 1.031214630
## [355,] 0.391513271
## [356,] 2.111230516
## [357,] 0.728038348
## [358,] 0.859831806
## [359,] 0.464953199
## [360,] 0.208390805
## [361,] 0.214914672
## [362,] 0.348043273
## [363,] 0.358640037
## [364,] 0.092603384
## [365,] 0.552703708
## [366,] 0.779458216
## [367,] 0.428788708
## [368,] 1.767315169
## [369,] 0.417177302
## [370,] 1.610471140
## [371,] 0.159490503
## [372,] 0.644271256
## [373,] 0.168672486
## [374,] 0.388923649
## [375,] 0.147052486
## [376,] 1.046617402
## [377,] 0.275624144
## [378,] 2.501529646
## [379,] 0.679777426
## [380,] 5.987032514
## [381,] 1.588582416
## [382,] 2.672210708
## [383,] 0.681172111
## [384,] 1.187078245
## [385,] 0.074070757
## [386,] 1.027132189
## [387,] 0.455233114
## [388,] 5.248786558
## [389,] 0.705570288
## [390,] 0.067714068
## [391,] 1.120523617
## [392,] 2.782820014
## [393,] 0.156608229
## [394,] 3.538387141
## [395,] 0.651312176
## [396,] 0.605271160
## [397,] 0.929529967
## [398,] 0.424433412
## [399,] 0.839863002
## [400,] 0.454644633
## [401,] 1.334652107
## [402,] 0.287116832
## [403,] 1.439371206
## [404,] 0.302723876
## [405,] 0.553153668
## [406,] 0.322749177
## [407,] 1.158293942
## [408,] 0.314992318
## [409,] 2.121720211
## [410,] 0.308407342
## [411,] 0.449343632
## [412,] 0.359441919
## [413,] 1.800945782
## [414,] 0.405344894
## [415,] 0.528220452
## [416,] 0.320662161
## [417,] 0.385113291
## [418,] 0.184246004
## [419,] 0.474786395
## [420,] 0.403047638
## [421,] 0.092350229
## [422,] 0.116430294
## [423,] 0.043626118
## [424,] 0.439507585
## [425,] 0.386886735
## [426,] 3.019505245
## [427,] 0.243947861
## [428,] 2.820856457
## [429,] 0.985025374
## [430,] 2.094049241
## [431,] 1.759938603
## [432,] 1.622209853
## [433,] 1.798403273
## [434,] 0.109653019
## [435,] 0.026138351
## [436,] 0.227790142
## [437,] 0.430823105
## [438,] 0.440655457
## [439,] 1.030753055
## [440,] 0.399864813
## [441,] 0.136406575
## [442,] 0.067979350
## [443,] 0.404144546
## [444,] 1.368866444
## [445,] 0.939028803
## [446,] 0.264915082
## [447,] 0.611893102
## [448,] 0.793222761
## [449,] 1.328543728
## [450,] 0.518392727
## [451,] 0.402574508
## [452,] 1.027245130
## [453,] 1.289905271
## [454,] 1.207042304
## [455,] 0.515775100
## [456,] 0.764762002
## [457,] 0.026974528
## [458,] 0.190855759
## [459,] 1.254396550
## [460,] 1.056328454
## [461,] 0.304795746
## [462,] 2.298922533
## [463,] 1.709225080
## [464,] 0.854527186
## [465,] 0.566938091
## [466,] 0.669088828
## [467,] 1.334217837
## [468,] 0.091884613
## [469,] 2.018856367
## [470,] 0.196210602
## [471,] 0.482955316
## [472,] 3.614037729
## [473,] 0.387947386
## [474,] 0.652557543
## [475,] 0.305331487
## [476,] 0.134636954
## [477,] 1.632641122
## [478,] 0.172133486
## [479,] 0.203660543
## [480,] 1.015239023
## [481,] 0.809263387
## [482,] 0.290889169
## [483,] 0.736653593
## [484,] 0.846052289
## [485,] 0.994405317
## [486,] 0.203541147
## [487,] 1.313513220
## [488,] 1.541748650
## [489,] 0.384791968
## [490,] 0.975763708
## [491,] 1.822021309
## [492,] 0.059366035
## [493,] 0.134258979
## [494,] 0.890340530
## [495,] 0.182126547
## [496,] 0.181093372
## [497,] 1.483564824
## [498,] 1.667385698
## [499,] 0.663613536
## [500,] 0.173824206
## [501,] 3.778836488
## [502,] 0.757062681
## [503,] 0.586766540
## [504,] 0.338224781
## [505,] 0.922278108
## [506,] 0.408283234
## [507,] 0.199181666
## [508,] 1.169958779
## [509,] 1.112844048
## [510,] 0.790460299
## [511,] 0.964924654
## [512,] 1.019409433
## [513,] 0.046218198
## [514,] 0.447755032
## [515,] 0.102363486
## [516,] -0.457500345
## [517,] 1.564236518
## [518,] 4.078067238
## [519,] 1.879311940
## [520,] 2.986964030
## [521,] 0.028135979
## [522,] 0.420937330
## [523,] 0.481058965
## [524,] 0.606557997
## [525,] 0.503027165
## [526,] 1.048625172
## [527,] 0.281824658
## [528,] 0.211083379
## [529,] 1.115822008
## [530,] 1.572824533
## [531,] 0.518775027
## [532,] 0.055180739
## [533,] 0.333171178
## [534,] -0.005479120
## [535,] 0.602236423
## [536,] 0.321085916
## [537,] 6.397883291
## [538,] 2.055259425
## [539,] 0.405811968
## [540,] 0.546816181
## [541,] 0.385875793
## [542,] 1.322173445
## [543,] 0.538923645
## [544,] 1.501533732
## [545,] 0.123812988
## [546,] 0.126029961
## [547,] 0.300924128
## [548,] 0.409760470
## [549,] 0.182773972
## [550,] 0.379344333
## [551,] 2.112571483
## [552,] 0.166242204
## [553,] 0.420691869
## [554,] 0.431359838
## [555,] 0.246645157
## [556,] 0.214454080
## [557,] 0.259560042
## [558,] 1.130565077
## [559,] 1.622180345
## [560,] 0.624826396
## [561,] 0.345792126
## [562,] 0.687799341
## [563,] 1.705342994
## [564,] 0.109014517
## [565,] 0.736553968
## [566,] 0.404318319
## [567,] 2.241933305
## [568,] 0.546715096
## [569,] 1.194530168
## [570,] 0.405677414
## [571,] 3.031883868
## [572,] 1.011012997
## [573,] 5.740202273
## [574,] 0.208545504
## [575,] 0.092213584
## [576,] 1.250111488
## [577,] 0.300576471
## [578,] 0.149717425
## [579,] 0.195491238
## [580,] 0.581699066
## [581,] 9.419441491
## [582,] 2.620414882
## [583,] 0.327175143
## [584,] 2.687074355
## [585,] 1.111074166
## [586,] 0.246325852
## [587,] 0.101702730
## [588,] 0.865055186
## [589,] 2.342974210
## [590,] 1.620525717
## [591,] 1.847416863
## [592,] 0.480201270
## [593,] 0.895891609
## [594,] 0.529552318
## [595,] 0.216813509
## [596,] 1.111905588
## [597,] 0.072287449
## [598,] 1.205649979
## [599,] 0.445340405
## [600,] 0.453266627
## [601,] 0.578632102
## [602,] 0.975251734
## [603,] 0.055186579
## [604,] 0.539962486
## [605,] 0.066493276
## [606,] -0.049765016
## [607,] 0.425659761
## [608,] -0.012397470
## [609,] 1.604971578
## [610,] 3.221537574
## [611,] 1.703960403
## [612,] 0.515269890
## [613,] 0.540857154
## [614,] 0.188310219
## [615,] 2.079301160
## [616,] 2.470220974
## [617,] 0.570408024
## [618,] 0.410513148
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## [996,] 2.979691549
## [997,] 0.707273665
## [998,] 1.763433441
## [999,] 0.561285119
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
## 2 1 1
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##
## $terms
## se ~ demo$med_condition_dependent
## attr(,"variables")
## list(se, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## se 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Grade Motivation
Now, Grade Motivation:
And an
Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0108 0.010751 0.4844 0.00156 0.596
## Residuals 310 6.8801 0.022194 0.99844
## Total 311 6.8909 1.00000
##
## $call
## adonis(formula = gm ~ demo$med_condition_dependent)
##
## $coefficients
## gm1 gm2 gm3 gm4
## (Intercept) 4.64104500 4.6144669 4.6177892 4.64436726
## demo$med_condition_dependent1 -0.08622773 -0.1128058 -0.1094835 -0.08290547
## gm5
## (Intercept) 3.5394141
## demo$med_condition_dependent1 0.3575959
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.071266278 0.09917697 0.06070822 0.06070822
## demo$med_condition_dependent1 0.006208439 0.01001034 0.01221022 0.01221022
## 5 6 7 8
## (Intercept) 0.05793640 0.096506319 0.086944850 0.071266278
## demo$med_condition_dependent1 0.02279246 0.002073843 0.009212317 0.006208439
## 9 10 11 12
## (Intercept) 0.06070822 0.071266278 0.071266278 0.071266278
## demo$med_condition_dependent1 0.01221022 0.006208439 0.006208439 0.006208439
## 13 14 15 16
## (Intercept) 0.06070822 0.071266278 0.071266278 0.11135976
## demo$med_condition_dependent1 0.01221022 0.006208439 0.006208439 0.01944979
## 17 18 19 20
## (Intercept) 0.071266278 0.113328824 0.05793640 0.09697630
## demo$med_condition_dependent1 0.006208439 0.008003848 0.02279246 0.02124964
## 21 22 23 24
## (Intercept) 0.071266278 0.071266278 0.085964866 0.23752827
## demo$med_condition_dependent1 0.006208439 0.006208439 0.008232334 0.01755882
## 25 26 27 28
## (Intercept) 0.06070822 0.617199301 0.09058438 0.1110381217
## demo$med_condition_dependent1 0.01221022 -0.009941674 0.02129713 0.0009823569
## 29 30 31 32
## (Intercept) 0.071266278 0.08249638 0.05793640 0.42017366
## demo$med_condition_dependent1 0.006208439 0.00691907 0.02279246 0.00345352
## 33 34 35 36
## (Intercept) 0.05793640 0.06070822 0.05793640 0.071266278
## demo$med_condition_dependent1 0.02279246 0.01221022 0.02279246 0.006208439
## 37 38 39 40
## (Intercept) 0.05793640 0.05793640 0.617199301 0.071266278
## demo$med_condition_dependent1 0.02279246 0.02279246 -0.009941674 0.006208439
## 41 42 43 44
## (Intercept) 0.05793640 0.071266278 0.06070822 0.06070822
## demo$med_condition_dependent1 0.02279246 0.006208439 0.01221022 0.01221022
## 45 46 47 48
## (Intercept) 0.071266278 0.20916184 0.123816906 0.378999733
## demo$med_condition_dependent1 0.006208439 0.01661787 0.001592426 0.006584269
## 49 50 51 52
## (Intercept) 0.05793640 0.07322705 0.469073273 0.11135976
## demo$med_condition_dependent1 0.02279246 0.01041513 -0.001925914 0.01944979
## 53 54 55 56
## (Intercept) 0.071266278 0.562440301 0.05793640 0.07033591
## demo$med_condition_dependent1 0.006208439 -0.006387322 0.02279246 0.02088621
## 57 58 59 60
## (Intercept) 0.087242460 0.05793640 0.05793640 0.384955372
## demo$med_condition_dependent1 0.009509927 0.02279246 0.02279246 0.005546902
## 61 62 63 64
## (Intercept) 0.071266278 0.07322705 0.13400167 0.06070822
## demo$med_condition_dependent1 0.006208439 0.01041513 0.01981553 0.01221022
## 65 66 67 68
## (Intercept) 0.07322705 0.07293598 0.071266278 0.07322705
## demo$med_condition_dependent1 0.01041513 0.01012405 0.006208439 0.01041513
## 69 70 71 72
## (Intercept) 0.071266278 0.05793640 0.06070822 0.09948142
## demo$med_condition_dependent1 0.006208439 0.02279246 0.01221022 0.01031479
## 73 74 75 76
## (Intercept) 0.071266278 0.05793640 0.071266278 0.071266278
## demo$med_condition_dependent1 0.006208439 0.02279246 0.006208439 0.006208439
## 77 78 79 80
## (Intercept) 0.05793640 0.05793640 0.08996357 0.05793640
## demo$med_condition_dependent1 0.02279246 0.02279246 0.02092832 0.02279246
## 81 82 83 84
## (Intercept) 0.05793640 0.106948910 0.07293598 0.08219163
## demo$med_condition_dependent1 0.02279246 0.008988045 0.01012405 0.02195062
## 85 86 87 88
## (Intercept) 0.071266278 0.06070822 0.07033591 0.617199301
## demo$med_condition_dependent1 0.006208439 0.01221022 0.02088621 -0.009941674
## 89 90 91 92
## (Intercept) 0.06070822 0.157301824 0.06070822 0.071266278
## demo$med_condition_dependent1 0.01221022 0.007320141 0.01221022 0.006208439
## 93 94 95 96
## (Intercept) 0.06070822 0.113328824 0.1670478028 0.071266278
## demo$med_condition_dependent1 0.01221022 0.008003848 0.0003747543 0.006208439
## 97 98 99 100
## (Intercept) 0.071266278 0.562440301 0.06070822 0.08249638
## demo$med_condition_dependent1 0.006208439 -0.006387322 0.01221022 0.00691907
## 101 102 103 104
## (Intercept) 0.071266278 0.083493031 0.13644268 0.18341383
## demo$med_condition_dependent1 0.006208439 0.004047248 0.01720603 0.01654504
## 105 106 107 108
## (Intercept) 0.06070822 0.113328824 0.085964866 0.087242460
## demo$med_condition_dependent1 0.01221022 0.008003848 0.008232334 0.009509927
## 109 110 111 112
## (Intercept) 0.06070822 0.071266278 0.083493031 0.071266278
## demo$med_condition_dependent1 0.01221022 0.006208439 0.004047248 0.006208439
## 113 114 115 116
## (Intercept) 0.08249638 0.071266278 0.071266278 0.05793640
## demo$med_condition_dependent1 0.00691907 0.006208439 0.006208439 0.02279246
## 117 118 119 120
## (Intercept) 0.097755595 0.05793640 0.05793640 0.07033591
## demo$med_condition_dependent1 0.003323119 0.02279246 0.02279246 0.02088621
## 121 122 123 124
## (Intercept) 0.071266278 0.071266278 0.071266278 0.10130102
## demo$med_condition_dependent1 0.006208439 0.006208439 0.006208439 0.02243777
## 125 126 127 128
## (Intercept) 0.087242460 0.071266278 0.05793640 0.08486650
## demo$med_condition_dependent1 0.009509927 0.006208439 0.02279246 0.02049326
## 129 130 131 132
## (Intercept) 0.071266278 0.06070822 0.083777856 0.05793640
## demo$med_condition_dependent1 0.006208439 0.01221022 0.004332073 0.02279246
## 133 134 135 136
## (Intercept) 0.07748117 0.06070822 0.05793640 0.05793640
## demo$med_condition_dependent1 0.02324678 0.01221022 0.02279246 0.02279246
## 137 138 139 140
## (Intercept) 0.07293598 0.071266278 0.071266278 0.05793640
## demo$med_condition_dependent1 0.01012405 0.006208439 0.006208439 0.02279246
## 141 142 143 144
## (Intercept) 0.06070822 0.071266278 0.071266278 0.06070822
## demo$med_condition_dependent1 0.01221022 0.006208439 0.006208439 0.01221022
## 145 146 147 148
## (Intercept) 0.05793640 0.06070822 0.071266278 0.14226197
## demo$med_condition_dependent1 0.02279246 0.01221022 0.006208439 0.01797482
## 149 150 151 152
## (Intercept) 0.617199301 0.11135976 0.06070822 0.071266278
## demo$med_condition_dependent1 -0.009941674 0.01944979 0.01221022 0.006208439
## 153 154 155 156
## (Intercept) 0.071266278 0.06070822 0.071266278 0.071266278
## demo$med_condition_dependent1 0.006208439 0.01221022 0.006208439 0.006208439
## 157 158 159 160
## (Intercept) 0.071266278 0.071266278 0.13297327 0.194108225
## demo$med_condition_dependent1 0.006208439 0.006208439 0.01908422 -0.001748274
## 161 162 163 164
## (Intercept) 0.071266278 0.071266278 0.05793640 0.06070822
## demo$med_condition_dependent1 0.006208439 0.006208439 0.02279246 0.01221022
## 165 166 167 168
## (Intercept) 0.071266278 0.07748117 0.06070822 0.071266278
## demo$med_condition_dependent1 0.006208439 0.02324678 0.01221022 0.006208439
## 169 170 171 172
## (Intercept) 0.071266278 0.06070822 0.071266278 0.09948142
## demo$med_condition_dependent1 0.006208439 0.01221022 0.006208439 0.01031479
## 173 174 175 176
## (Intercept) 0.05793640 0.071266278 0.095197355 0.06070822
## demo$med_condition_dependent1 0.02279246 0.006208439 0.004717448 0.01221022
## 177 178 179 180
## (Intercept) 0.516846218 0.13297327 0.10872048 0.06070822
## demo$med_condition_dependent1 -0.005014783 0.01908422 0.00270512 0.01221022
## 181 182 183 184
## (Intercept) 0.05793640 0.157609448 0.06070822 0.05793640
## demo$med_condition_dependent1 0.02279246 0.007627765 0.01221022 0.02279246
## 185 186 187 188
## (Intercept) 0.071266278 0.06070822 0.05793640 0.379759435
## demo$med_condition_dependent1 0.006208439 0.01221022 0.02279246 0.007343971
## 189 190 191 192
## (Intercept) 0.071266278 0.071266278 0.05793640 0.071266278
## demo$med_condition_dependent1 0.006208439 0.006208439 0.02279246 0.006208439
## 193 194 195 196
## (Intercept) 0.071266278 0.071266278 0.06070822 0.071266278
## demo$med_condition_dependent1 0.006208439 0.006208439 0.01221022 0.006208439
## 197 198 199 200
## (Intercept) 0.06070822 0.08486650 0.071266278 0.071266278
## demo$med_condition_dependent1 0.01221022 0.02049326 0.006208439 0.006208439
## 201 202 203 204
## (Intercept) 0.08249638 0.05793640 0.06070822 0.071266278
## demo$med_condition_dependent1 0.00691907 0.02279246 0.01221022 0.006208439
## 205 206 207 208
## (Intercept) 0.08952119 0.617199301 0.08590480 0.071266278
## demo$med_condition_dependent1 0.02436617 -0.009941674 0.01221267 0.006208439
## 209 210 211 212
## (Intercept) 0.071266278 0.09917697 0.06070822 0.05793640
## demo$med_condition_dependent1 0.006208439 0.01001034 0.01221022 0.02279246
## 213 214 215 216
## (Intercept) 0.071266278 0.071266278 0.08219163 0.08249638
## demo$med_condition_dependent1 0.006208439 0.006208439 0.02195062 0.00691907
## 217 218 219 220
## (Intercept) 0.071266278 0.071266278 0.06070822 0.06070822
## demo$med_condition_dependent1 0.006208439 0.006208439 0.01221022 0.01221022
## 221 222 223 224
## (Intercept) 0.09837529 0.071266278 0.06070822 0.05793640
## demo$med_condition_dependent1 0.01842030 0.006208439 0.01221022 0.02279246
## 225 226 227 228
## (Intercept) 0.07063352 0.071266278 0.071266278 0.071266278
## demo$med_condition_dependent1 0.02118382 0.006208439 0.006208439 0.006208439
## 229 230 231 232
## (Intercept) 0.071266278 0.07322705 0.08249638 0.06070822
## demo$med_condition_dependent1 0.006208439 0.01041513 0.00691907 0.01221022
## 233 234 235 236
## (Intercept) 0.05793640 0.18035652 0.617199301 0.11135976
## demo$med_condition_dependent1 0.02279246 0.01916955 -0.009941674 0.01944979
## 237 238 239 240
## (Intercept) 0.07418525 0.09697630 0.083493031 0.083493031
## demo$med_condition_dependent1 0.01137333 0.02124964 0.004047248 0.004047248
## 241 242 243 244
## (Intercept) 0.113328824 0.06070822 0.071266278 0.071266278
## demo$med_condition_dependent1 0.008003848 0.01221022 0.006208439 0.006208439
## 245 246 247 248
## (Intercept) 0.06070822 0.05793640 0.071266278 0.07293598
## demo$med_condition_dependent1 0.01221022 0.02279246 0.006208439 0.01012405
## 249 250 251 252
## (Intercept) 0.11135976 0.05793640 0.100544610 0.12593610
## demo$med_condition_dependent1 0.01944979 0.02279246 0.007245749 0.00200474
## 253 254 255 256
## (Intercept) 0.09837529 0.071266278 0.11135976 0.113328824
## demo$med_condition_dependent1 0.01842030 0.006208439 0.01944979 0.008003848
## 257 258 259 260
## (Intercept) 0.071266278 0.071266278 0.11135976 0.617199301
## demo$med_condition_dependent1 0.006208439 0.006208439 0.01944979 -0.009941674
## 261 262 263 264
## (Intercept) 0.05793640 0.134517654 0.098174188 0.617199301
## demo$med_condition_dependent1 0.02279246 0.007390645 0.009007559 -0.009941674
## 265 266 267 268
## (Intercept) 0.516846218 0.06070822 0.096506319 0.071266278
## demo$med_condition_dependent1 -0.005014783 0.01221022 0.002073843 0.006208439
## 269 270 271 272
## (Intercept) 0.05793640 0.15594612 0.05793640 0.11978750
## demo$med_condition_dependent1 0.02279246 0.01899217 0.02279246 0.01863452
## 273 274 275 276
## (Intercept) 0.05793640 0.05793640 0.113328824 0.07191809
## demo$med_condition_dependent1 0.02279246 0.02279246 0.008003848 0.01305874
## 277 278 279 280
## (Intercept) 0.07293598 0.05793640 0.05793640 0.307099214
## demo$med_condition_dependent1 0.01012405 0.02279246 0.02279246 0.009357316
## 281 282 283 284
## (Intercept) 0.071266278 0.071266278 0.071266278 0.071266278
## demo$med_condition_dependent1 0.006208439 0.006208439 0.006208439 0.006208439
## 285 286 287 288
## (Intercept) 0.06070822 0.071266278 0.07293598 0.071266278
## demo$med_condition_dependent1 0.01221022 0.006208439 0.01012405 0.006208439
## 289 290 291 292
## (Intercept) 0.08462721 0.08462721 0.071266278 0.06070822
## demo$med_condition_dependent1 0.01093508 0.01093508 0.006208439 0.01221022
## 293 294 295 296
## (Intercept) 0.12902655 0.071266278 0.05793640 0.05793640
## demo$med_condition_dependent1 0.02181297 0.006208439 0.02279246 0.02279246
## 297 298 299 300
## (Intercept) 0.06070822 0.617199301 0.071266278 0.05793640
## demo$med_condition_dependent1 0.01221022 -0.009941674 0.006208439 0.02279246
## 301 302 303 304
## (Intercept) 0.06070822 0.05793640 0.092214893 0.27070146
## demo$med_condition_dependent1 0.01221022 0.02279246 0.009936906 0.01590598
## 305 306 307 308
## (Intercept) 0.06070822 0.07322705 0.06070822 0.13879256
## demo$med_condition_dependent1 0.01221022 0.01041513 0.01221022 0.01985301
## 309 310 311 312
## (Intercept) 0.12870745 0.617199301 0.071266278 0.07748117
## demo$med_condition_dependent1 0.02149386 -0.009941674 0.006208439 0.02324678
##
## $f.perms
## [,1]
## [1,] 0.068551813
## [2,] 0.339989238
## [3,] 1.164362080
## [4,] 1.708292102
## [5,] 0.132414224
## [6,] 1.020694146
## [7,] 0.369547251
## [8,] 0.212240488
## [9,] 0.576998296
## [10,] 0.338902528
## [11,] 0.615082719
## [12,] 0.901215532
## [13,] 0.858121236
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## [15,] 0.685705695
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## [19,] 2.792791177
## [20,] 0.961481330
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## [24,] 0.646600482
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## [35,] 0.518607316
## [36,] 0.315923567
## [37,] 1.557425691
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## [39,] 0.696720768
## [40,] 1.471991288
## [41,] 0.830211008
## [42,] 2.072710896
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## [57,] 0.085483789
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## [60,] 1.041912137
## [61,] 1.110538601
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## [63,] 3.136228742
## [64,] 1.048600031
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## [66,] 0.977537588
## [67,] 1.368537328
## [68,] 0.955081308
## [69,] 0.274154654
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## [71,] 0.222230188
## [72,] 1.922697393
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## [77,] 0.415726360
## [78,] 3.264769575
## [79,] 1.555011969
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## [81,] 0.479310184
## [82,] 0.582515354
## [83,] 0.350277807
## [84,] 3.734641047
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## [87,] 0.348424806
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## [89,] 0.209432731
## [90,] 1.971525045
## [91,] 0.135269056
## [92,] 0.118251287
## [93,] 0.309090301
## [94,] 2.438791161
## [95,] 0.154583229
## [96,] 0.366821279
## [97,] 0.469814186
## [98,] 0.268625846
## [99,] 0.619737564
## [100,] 2.439544586
## [101,] 1.333855534
## [102,] 0.907550760
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## [104,] 0.377402580
## [105,] 0.312083579
## [106,] 0.443916675
## [107,] 1.115511283
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## [109,] 0.638472823
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## [124,] 1.023770894
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## [887,] 0.153529167
## [888,] 0.899689503
## [889,] 0.163383957
## [890,] 1.220582058
## [891,] 1.097802550
## [892,] 0.117441538
## [893,] 0.739795245
## [894,] 0.383399826
## [895,] 0.641216914
## [896,] 0.847555358
## [897,] 0.368853196
## [898,] 3.301432849
## [899,] 0.722375361
## [900,] 0.732271884
## [901,] 0.237361464
## [902,] 0.241646903
## [903,] 1.275415633
## [904,] 0.660402795
## [905,] 0.793680389
## [906,] 0.616576981
## [907,] 2.637465840
## [908,] -0.092836327
## [909,] 0.110440580
## [910,] 0.234914388
## [911,] 1.032986710
## [912,] 0.785220735
## [913,] 1.156595272
## [914,] 0.398536414
## [915,] 0.480335184
## [916,] 1.163216082
## [917,] 1.080797603
## [918,] 1.106000574
## [919,] 0.295466242
## [920,] 0.515982550
## [921,] 1.067192189
## [922,] 7.566085403
## [923,] 1.376092356
## [924,] 1.240447703
## [925,] 1.249617035
## [926,] 0.317199774
## [927,] 1.204538863
## [928,] 0.463100709
## [929,] 0.822676163
## [930,] 0.322940700
## [931,] 0.609152149
## [932,] 1.776351192
## [933,] 0.373829729
## [934,] 0.317092178
## [935,] 0.902332730
## [936,] 0.770183488
## [937,] 0.912837960
## [938,] 0.428973010
## [939,] 0.421407516
## [940,] 0.684762698
## [941,] 0.350233811
## [942,] 0.240238180
## [943,] 1.832096354
## [944,] 2.189589658
## [945,] 0.614894884
## [946,] 0.280795598
## [947,] 0.331208841
## [948,] 6.638010175
## [949,] 0.184031863
## [950,] 0.853715152
## [951,] 0.182462943
## [952,] 0.673248161
## [953,] 0.495871450
## [954,] 0.314654031
## [955,] 0.917955888
## [956,] 0.261767531
## [957,] 0.711057137
## [958,] 0.503786352
## [959,] 0.113347782
## [960,] 0.166916713
## [961,] 0.283399131
## [962,] 0.322471130
## [963,] 0.607955540
## [964,] 0.263855328
## [965,] 0.091819273
## [966,] 1.328283559
## [967,] 0.552265502
## [968,] 1.516616793
## [969,] 0.417023807
## [970,] 9.409138198
## [971,] 0.404525760
## [972,] 1.831583228
## [973,] 0.447393962
## [974,] 0.196528997
## [975,] 1.066951428
## [976,] 1.205102798
## [977,] 1.866066105
## [978,] 0.086102442
## [979,] 0.946124431
## [980,] 0.336314993
## [981,] 0.396779844
## [982,] 0.226338683
## [983,] 1.094413929
## [984,] 2.008625013
## [985,] 2.168121341
## [986,] 3.219990284
## [987,] 1.448387524
## [988,] 0.908607574
## [989,] 0.288662704
## [990,] 0.210604946
## [991,] 1.790564361
## [992,] 0.601128839
## [993,] 0.241690180
## [994,] 1.261270767
## [995,] 0.243900873
## [996,] 1.431847179
## [997,] 0.105093531
## [998,] 0.313264574
## [999,] 0.808970051
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
## 5 1 1
## 6 1 1
## 7 1 1
## 8 1 1
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## 72 1 1
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##
## $terms
## gm ~ demo$med_condition_dependent
## attr(,"variables")
## list(gm, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## gm 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Competency in Science
Now, Competency in Science:
And an
Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0265 0.026505 0.79495 0.00256 0.406
## Residuals 310 10.3358 0.033341 0.99744
## Total 311 10.3623 1.00000
##
## $call
## adonis(formula = sci_comp ~ demo$med_condition_dependent)
##
## $coefficients
## sci_comp1 sci_comp2 sci_comp3 sci_comp4
## (Intercept) 2.9051646 3.0493809 3.0144971 3.5762609
## demo$med_condition_dependent1 0.1778919 -0.1324373 -0.1673211 -0.1510118
## sci_competancy_ave
## (Intercept) 3.13632588
## demo$med_condition_dependent1 -0.06821957
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.16759490 0.14993780 0.190378578 0.37247778
## demo$med_condition_dependent1 0.01814644 0.01379073 0.007470735 -0.01326514
## 5 6 7 8
## (Intercept) 0.22712609 0.15223695 0.261072641 0.19383437
## demo$med_condition_dependent1 0.01415456 0.01988159 0.006969673 0.01092474
## 9 10 11 12
## (Intercept) 0.270982627 0.16333242 0.1807673 0.3432174042
## demo$med_condition_dependent1 -0.006047578 0.01849818 0.0157246 -0.0001589977
## 13 14 15 16
## (Intercept) 0.16339473 0.16339473 0.166039482 0.20992462
## demo$med_condition_dependent1 0.01360323 0.01360323 0.006380545 0.01212594
## 17 18 19 20
## (Intercept) 0.4901806 0.150673856 0.16724438 0.15223695
## demo$med_condition_dependent1 -0.0162063 0.008751617 0.01710656 0.01988159
## 21 22 23 24
## (Intercept) 0.209686597 0.15769924 0.159405182 0.15388758
## demo$med_condition_dependent1 -0.001452274 0.01064915 0.006536907 0.01322751
## 25 26 27 28
## (Intercept) 0.174186576 0.24432896 0.14810678 0.183914703
## demo$med_condition_dependent1 0.002618569 0.01401112 0.01679462 0.009622452
## 29 30 31 32
## (Intercept) 0.16724438 0.18196619 0.166037436 0.16339473
## demo$med_condition_dependent1 0.01710656 0.01428551 0.009790606 0.01360323
## 33 34 35 36
## (Intercept) 0.20456466 0.18363537 0.20785285 0.18971157
## demo$med_condition_dependent1 0.02191582 0.01471613 0.01399768 0.01054301
## 37 38 39 40
## (Intercept) 0.20079457 0.16339473 0.16866082 0.16339473
## demo$med_condition_dependent1 0.01061131 0.01360323 0.01295373 0.01360323
## 41 42 43 44
## (Intercept) 0.22440471 0.22202447 0.1634387 0.224392468
## demo$med_condition_dependent1 0.01420612 0.01575707 0.0297951 0.008523974
## 45 46 47 48
## (Intercept) 0.23196350 0.14993780 0.249485469 0.179300513
## demo$med_condition_dependent1 0.01724941 0.01379073 0.007945209 0.007711384
## 49 50 51 52
## (Intercept) 0.14993780 0.16333242 0.22202447 0.18196619
## demo$med_condition_dependent1 0.01379073 0.01849818 0.01575707 0.01428551
## 53 54 55 56
## (Intercept) 0.16333242 0.2112817 0.16147204 0.17458305
## demo$med_condition_dependent1 0.01849818 0.0224362 0.02296191 0.02148428
## 57 58 59 60
## (Intercept) 0.166037436 0.159803505 0.150673856 0.25462816
## demo$med_condition_dependent1 0.009790606 0.009483616 0.008751617 0.01399999
## 61 62 63 64
## (Intercept) 0.17296662 0.159405182 0.1590012 0.224392468
## demo$med_condition_dependent1 0.01347815 0.006536907 0.0166387 0.008523974
## 65 66 67 68
## (Intercept) 0.204744984 0.22327757 0.24432896 0.159803505
## demo$med_condition_dependent1 0.009636668 0.01205552 0.01401112 0.009483616
## 69 70 71 72
## (Intercept) 0.159405182 0.224733869 0.1593162 0.16339473
## demo$med_condition_dependent1 0.006536907 0.008865375 0.0260722 0.01360323
## 73 74 75 76
## (Intercept) 0.159803505 0.22712609 0.24432896 0.159803505
## demo$med_condition_dependent1 0.009483616 0.01415456 0.01401112 0.009483616
## 77 78 79 80
## (Intercept) 0.16591250 0.18600512 0.14083429 0.1634387
## demo$med_condition_dependent1 0.02421073 0.01399149 0.01514061 0.0297951
## 81 82 83 84
## (Intercept) 0.17205133 0.16339473 0.17586513 0.17680147
## demo$med_condition_dependent1 0.02980474 0.01360323 0.01527873 0.01832418
## 85 86 87 88
## (Intercept) 0.1658373884 0.15683247 0.308204399 0.15140671
## demo$med_condition_dependent1 0.0002969371 0.01264844 -0.006536034 0.02098232
## 89 90 91 92
## (Intercept) 0.183914703 0.1980978440 0.14083429 0.196054934
## demo$med_condition_dependent1 0.009622452 0.0005290574 0.01514061 0.006633071
## 93 94 95 96
## (Intercept) 0.3658136 0.18740682 0.199721751 0.4901806
## demo$med_condition_dependent1 -0.0199327 0.02463074 -0.005356514 -0.0162063
## 97 98 99 100
## (Intercept) 0.14810678 0.17657086 0.253212044 0.19986703
## demo$med_condition_dependent1 0.01679462 0.01807285 0.002385048 0.02406984
## 101 102 103 104
## (Intercept) 0.16847957 0.15388758 0.18196619 0.159803505
## demo$med_condition_dependent1 0.01616772 0.01322751 0.01428551 0.009483616
## 105 106 107 108
## (Intercept) 0.22202447 0.340569897 0.15683247 0.183914703
## demo$med_condition_dependent1 0.01575707 -0.002806505 0.01264844 0.009622452
## 109 110 111 112
## (Intercept) 0.18196619 0.184316938 0.17843183 0.20112569
## demo$med_condition_dependent1 0.01428551 0.008002076 0.02388629 0.01643602
## 113 114 115 116
## (Intercept) 0.16339473 0.16333242 0.283768389 0.2502177067
## demo$med_condition_dependent1 0.01360323 0.01849818 0.009009315 -0.0008378128
## 117 118 119 120
## (Intercept) 0.1634387 0.27706480 0.4901806 0.18196619
## demo$med_condition_dependent1 0.0297951 0.00403135 -0.0162063 0.01428551
## 121 122 123 124
## (Intercept) 0.4901806 0.260858655 0.4901806 0.19709769
## demo$med_condition_dependent1 -0.0162063 0.006755687 -0.0162063 0.01321969
## 125 126 127 128
## (Intercept) 0.179300513 0.16339473 0.20967870 0.340569897
## demo$med_condition_dependent1 0.007711384 0.01360323 0.01160156 -0.002806505
## 129 130 131 132
## (Intercept) 0.19867982 0.17657086 0.16745198 0.14993780
## demo$med_condition_dependent1 0.01803056 0.01807285 0.01249354 0.01379073
## 133 134 135 136
## (Intercept) 0.15769924 0.17044604 0.14810678 0.150673856
## demo$med_condition_dependent1 0.01064915 0.01514783 0.01679462 0.008751617
## 137 138 139 140
## (Intercept) 0.4901806 0.1590012 0.17458305 0.16339473
## demo$med_condition_dependent1 -0.0162063 0.0166387 0.02148428 0.01360323
## 141 142 143 144
## (Intercept) 0.14993780 0.150673856 0.19383437 0.166037436
## demo$med_condition_dependent1 0.01379073 0.008751617 0.01092474 0.009790606
## 145 146 147 148
## (Intercept) 0.179300513 0.159405182 0.150673856 0.4901806
## demo$med_condition_dependent1 0.007711384 0.006536907 0.008751617 -0.0162063
## 149 150 151 152
## (Intercept) 0.18816095 0.411135769 0.14198361 0.4901806
## demo$med_condition_dependent1 0.01199148 -0.008926693 0.02066146 -0.0162063
## 153 154 155 156
## (Intercept) 0.37247778 0.18656899 0.16378488 0.4901806
## demo$med_condition_dependent1 -0.01326514 0.01993224 0.01309346 -0.0162063
## 157 158 159 160
## (Intercept) 0.4901806 0.24432896 0.16339473 0.15683247
## demo$med_condition_dependent1 -0.0162063 0.01401112 0.01360323 0.01264844
## 161 162 163 164
## (Intercept) 0.19709769 0.150673856 0.19224672 0.37247778
## demo$med_condition_dependent1 0.01321969 0.008751617 0.01575366 -0.01326514
## 165 166 167 168
## (Intercept) 0.20077572 0.16484413 0.17698305 0.18196619
## demo$med_condition_dependent1 0.01608605 0.02459319 0.01663181 0.01428551
## 169 170 171 172
## (Intercept) 0.210311985 0.16866082 0.204744984 0.15388758
## demo$med_condition_dependent1 0.001184879 0.01295373 0.009636668 0.01322751
## 173 174 175 176
## (Intercept) 0.204744984 0.14810678 0.196054934 0.15730474
## demo$med_condition_dependent1 0.009636668 0.01679462 0.006633071 0.02039817
## 177 178 179 180
## (Intercept) 0.14083429 0.18363537 0.16339473 0.179300513
## demo$med_condition_dependent1 0.01514061 0.01471613 0.01360323 0.007711384
## 181 182 183 184
## (Intercept) 0.204744984 0.16907340 0.16339473 0.16333242
## demo$med_condition_dependent1 0.009636668 0.02054162 0.01360323 0.01849818
## 185 186 187 188
## (Intercept) 0.17586513 0.15889275 0.22712609 0.244896670
## demo$med_condition_dependent1 0.01527873 0.02076547 0.01415456 0.005721932
## 189 190 191 192
## (Intercept) 0.1861438328 0.17296662 0.4901806 0.16339473
## demo$med_condition_dependent1 0.0005239412 0.01347815 -0.0162063 0.01360323
## 193 194 195 196
## (Intercept) 0.19867982 0.20077572 0.210311985 0.16339473
## demo$med_condition_dependent1 0.01803056 0.01608605 0.001184879 0.01360323
## 197 198 199 200
## (Intercept) 0.179300513 0.204744984 0.17657086 0.16724438
## demo$med_condition_dependent1 0.007711384 0.009636668 0.01807285 0.01710656
## 201 202 203 204
## (Intercept) 0.4901806 0.14198361 0.413963183 0.14198361
## demo$med_condition_dependent1 -0.0162063 0.02066146 -0.006099278 0.02066146
## 205 206 207 208
## (Intercept) 0.205194794 0.24432896 0.3436749755 0.17361069
## demo$med_condition_dependent1 0.003287445 0.01401112 0.0002985735 0.01039898
## 209 210 211 212
## (Intercept) 0.15140671 0.1593162 0.167465987 0.174186576
## demo$med_condition_dependent1 0.02098232 0.0260722 0.009148498 0.002618569
## 213 214 215 216
## (Intercept) 0.340569897 0.211064832 0.1593162 0.159405182
## demo$med_condition_dependent1 -0.002806505 -0.003367587 0.0260722 0.006536907
## 217 218 219 220
## (Intercept) 0.15222928 0.254200154 0.24432896 0.16724438
## demo$med_condition_dependent1 0.02051752 0.003241803 0.01401112 0.01710656
## 221 222 223 224
## (Intercept) 0.255561682 0.21027458 0.283525676 0.253212044
## demo$med_condition_dependent1 0.004734685 0.01247591 0.008766602 0.002385048
## 225 226 227 228
## (Intercept) 0.3434950867 0.22427344 0.22712609 0.18656899
## demo$med_condition_dependent1 0.0001186848 0.01252817 0.01415456 0.01993224
## 229 230 231 232
## (Intercept) 0.16339473 0.22712609 0.276226789 0.2112817
## demo$med_condition_dependent1 0.01360323 0.01415456 0.007752734 0.0224362
## 233 234 235 236
## (Intercept) 0.27412737 0.19867982 0.16339473 0.22712609
## demo$med_condition_dependent1 0.00109392 0.01803056 0.01360323 0.01415456
## 237 238 239 240
## (Intercept) 0.22202447 0.19709769 0.283768389 0.414475854
## demo$med_condition_dependent1 0.01575707 0.01321969 0.009009315 -0.005586607
## 241 242 243 244
## (Intercept) 0.16339473 0.17036863 0.16339473 0.24432896
## demo$med_condition_dependent1 0.01360323 0.01165009 0.01360323 0.01401112
## 245 246 247 248
## (Intercept) 0.254200154 0.261072641 0.27412737 0.204744984
## demo$med_condition_dependent1 0.003241803 0.006969673 0.00109392 0.009636668
## 249 250 251 252
## (Intercept) 0.1593162 0.16724438 0.15222928 0.20152009
## demo$med_condition_dependent1 0.0260722 0.01710656 0.02051752 0.01410829
## 253 254 255 256
## (Intercept) 0.245270477 0.17657086 0.204744984 0.3434950867
## demo$med_condition_dependent1 0.006095739 0.01807285 0.009636668 0.0001186848
## 257 258 259 260
## (Intercept) 0.14083429 0.18363263 0.17657086 0.37247778
## demo$med_condition_dependent1 0.01514061 0.01245757 0.01807285 -0.01326514
## 261 262 263 264
## (Intercept) 0.150673856 0.204744984 0.204744984 0.184923963
## demo$med_condition_dependent1 0.008751617 0.009636668 0.009636668 0.007209136
## 265 266 267 268
## (Intercept) 0.15889275 0.16866082 0.204744984 0.17657086
## demo$med_condition_dependent1 0.02076547 0.01295373 0.009636668 0.01807285
## 269 270 271 272
## (Intercept) 0.16700646 0.17044604 0.308204399 0.20967870
## demo$med_condition_dependent1 0.02392848 0.01514783 -0.006536034 0.01160156
## 273 274 275 276
## (Intercept) 0.22712609 0.30546928 0.244896670 0.14198361
## demo$med_condition_dependent1 0.01415456 0.01192233 0.005721932 0.02066146
## 277 278 279 280
## (Intercept) 0.18788087 0.18600512 0.19986703 0.156658390
## demo$med_condition_dependent1 0.01237425 0.01399149 0.02406984 0.007260805
## 281 282 283 284
## (Intercept) 0.1593162 0.17657086 0.18656899 0.23177340
## demo$med_condition_dependent1 0.0260722 0.01807285 0.01993224 0.01705931
## 285 286 287 288
## (Intercept) 0.150673856 0.1980978440 0.166037436 0.17657086
## demo$med_condition_dependent1 0.008751617 0.0005290574 0.009790606 0.01807285
## 289 290 291 292
## (Intercept) 0.14810678 0.174186576 0.24432896 0.15140671
## demo$med_condition_dependent1 0.01679462 0.002618569 0.01401112 0.02098232
## 293 294 295
## (Intercept) 0.3432174042 0.150673856 0.1658373884
## demo$med_condition_dependent1 -0.0001589977 0.008751617 0.0002969371
## 296 297 298 299
## (Intercept) 0.210775238 0.14083429 0.15140671 0.18537072
## demo$med_condition_dependent1 -0.003657181 0.01514061 0.02098232 0.01047477
## 300 301 302 303
## (Intercept) 0.159405182 0.16339473 0.16339473 0.15987181
## demo$med_condition_dependent1 0.006536907 0.01360323 0.01360323 0.01235517
## 304 305 306 307
## (Intercept) 0.156658390 0.150673856 0.159803505 0.167465987
## demo$med_condition_dependent1 0.007260805 0.008751617 0.009483616 0.009148498
## 308 309 310 311
## (Intercept) 0.18195480 0.1915265 0.14993780 0.16339473
## demo$med_condition_dependent1 0.01802118 0.0228505 0.01379073 0.01360323
## 312
## (Intercept) 0.18852033
## demo$med_condition_dependent1 0.01235086
##
## $f.perms
## [,1]
## [1,] 1.0033880081
## [2,] 0.5281824301
## [3,] 0.1175149784
## [4,] 1.1403866431
## [5,] 0.1658772875
## [6,] 0.2844532767
## [7,] 0.3346247101
## [8,] 0.7672605527
## [9,] 0.3830923636
## [10,] 1.9198770235
## [11,] 0.5872680623
## [12,] 0.1053003564
## [13,] 0.5654662267
## [14,] 0.7463643972
## [15,] 1.6127497166
## [16,] 0.9007171783
## [17,] 2.1621358723
## [18,] 1.0338076653
## [19,] 1.1346507794
## [20,] 3.5556736079
## [21,] 2.1635932747
## [22,] 0.1806450740
## [23,] 2.5266766281
## [24,] 0.1466715252
## [25,] 0.2693682643
## [26,] 0.6290405751
## [27,] 3.7142647515
## [28,] 0.2384625274
## [29,] 1.4739706274
## [30,] 0.5320635628
## [31,] 1.6968094228
## [32,] 1.0349215117
## [33,] 0.8497564463
## [34,] 1.1297492538
## [35,] 1.6755550366
## [36,] 0.6559265722
## [37,] 0.7821220976
## [38,] 1.1284553348
## [39,] 2.2732843856
## [40,] 0.0054805045
## [41,] 7.5922745316
## [42,] 0.2132854899
## [43,] 1.1597445180
## [44,] 0.8527724466
## [45,] 2.3201225426
## [46,] 0.5234210072
## [47,] 0.0228600349
## [48,] 0.2974082438
## [49,] 1.0862813266
## [50,] -0.1747692777
## [51,] 0.9264339649
## [52,] 2.3996688140
## [53,] 1.7175619779
## [54,] 1.6072771123
## [55,] 0.3584879369
## [56,] 1.2087037798
## [57,] 1.1819793742
## [58,] 0.9244352732
## [59,] 0.9917798753
## [60,] 1.3524620719
## [61,] 0.7549537412
## [62,] 0.6961941011
## [63,] -0.0372316022
## [64,] 0.1731523012
## [65,] 0.0896866363
## [66,] 0.2548120127
## [67,] 0.5065008394
## [68,] 0.4592796747
## [69,] 0.6844803550
## [70,] 0.7254539320
## [71,] 0.4046393982
## [72,] 3.7680957470
## [73,] 0.5319596014
## [74,] 0.4529627935
## [75,] 0.5539273601
## [76,] 0.2585387358
## [77,] 0.2258557998
## [78,] 0.2204186809
## [79,] 1.0844313755
## [80,] 0.2559658747
## [81,] 1.4899686630
## [82,] 1.3432553781
## [83,] 2.0795320237
## [84,] 0.4309260077
## [85,] 0.9691941068
## [86,] 0.8900579438
## [87,] 0.1040073923
## [88,] 0.6246747044
## [89,] 0.4934993575
## [90,] 1.6575548284
## [91,] 1.5715228305
## [92,] 0.2486601432
## [93,] 1.2229285600
## [94,] 0.6265092644
## [95,] 0.5548517783
## [96,] 0.2433126284
## [97,] 1.0099570238
## [98,] 2.2351919459
## [99,] 0.8379697824
## [100,] 0.8989367787
## [101,] 0.2643304724
## [102,] 0.2849337792
## [103,] 2.4426432737
## [104,] 1.9542943515
## [105,] 1.2965824736
## [106,] 1.4303739159
## [107,] 0.0688108764
## [108,] 0.4779393231
## [109,] 0.6215447230
## [110,] 0.6951615750
## [111,] 4.7947612872
## [112,] 0.5414983050
## [113,] 0.2585726329
## [114,] 0.4570160654
## [115,] 0.4260894364
## [116,] 0.2119451141
## [117,] 0.4315975747
## [118,] 0.7663243501
## [119,] 0.3399691491
## [120,] 2.2382245673
## [121,] 0.2955418901
## [122,] 0.4919609717
## [123,] 0.3225935489
## [124,] 1.1516532818
## [125,] 1.3140033858
## [126,] 1.7676519318
## [127,] 0.0773593178
## [128,] 0.4554947409
## [129,] 0.3759866344
## [130,] 1.3210224933
## [131,] 0.2509470326
## [132,] 2.2099430079
## [133,] 0.5940886862
## [134,] 0.1766990582
## [135,] 0.1554232540
## [136,] 0.0851071968
## [137,] 2.3531349224
## [138,] 1.0349116270
## [139,] 0.5372373289
## [140,] 0.6596348412
## [141,] 0.7252443544
## [142,] 2.7396754152
## [143,] 0.4617283914
## [144,] 1.1737742790
## [145,] 0.3353015951
## [146,] 1.9537190129
## [147,] 0.9592693752
## [148,] 2.0486461375
## [149,] 0.5415676441
## [150,] 0.3204584584
## [151,] 0.1100682134
## [152,] 0.1132716407
## [153,] 2.5338588165
## [154,] 0.1829127664
## [155,] 1.4179704647
## [156,] 0.3447401438
## [157,] 0.6883457417
## [158,] 0.1363591232
## [159,] 0.1234499363
## [160,] 1.0301234314
## [161,] 0.7610039220
## [162,] 2.7958160174
## [163,] 1.2571723250
## [164,] 1.5468734779
## [165,] 0.9964103123
## [166,] 0.5472037467
## [167,] 0.4143949070
## [168,] 0.6824108633
## [169,] 0.2587109185
## [170,] -0.1775130739
## [171,] 0.7779663867
## [172,] 0.4744076088
## [173,] -0.0087361389
## [174,] 0.1156853198
## [175,] 1.0361968584
## [176,] 1.0504327841
## [177,] 1.8121860268
## [178,] 0.3129981891
## [179,] 1.4160107882
## [180,] 0.3210992691
## [181,] 3.0387801365
## [182,] 1.2585495167
## [183,] -0.0062585668
## [184,] 0.6978807507
## [185,] 0.5657621997
## [186,] 0.7245134020
## [187,] 2.3785483146
## [188,] 0.8636184038
## [189,] 0.8007328951
## [190,] 0.3241102188
## [191,] 0.4509509930
## [192,] 0.2118307134
## [193,] -0.0335958612
## [194,] 0.2199351467
## [195,] 0.0311775908
## [196,] 1.4823367806
## [197,] 0.3869019820
## [198,] 0.2755985120
## [199,] 0.6873105710
## [200,] 0.7325690020
## [201,] 0.5038048222
## [202,] 0.0342458723
## [203,] 0.1584357522
## [204,] 2.0759642820
## [205,] 0.7765166498
## [206,] 0.4950370517
## [207,] 0.5622129447
## [208,] 0.7641463871
## [209,] 0.0744250872
## [210,] 0.5266784183
## [211,] -0.0359724792
## [212,] 0.6451540562
## [213,] 0.3085213377
## [214,] 0.7558015612
## [215,] 4.2764403778
## [216,] 0.1370171057
## [217,] 1.3534271307
## [218,] 0.9280857799
## [219,] 0.5130103374
## [220,] 0.2129377347
## [221,] -0.0940401512
## [222,] 0.3137623244
## [223,] 0.9378423624
## [224,] 1.9843726471
## [225,] 0.8118469874
## [226,] 0.3033573127
## [227,] 0.3966640711
## [228,] 0.6614907291
## [229,] 0.0429134719
## [230,] 0.3983468934
## [231,] 0.2554168727
## [232,] 0.9780561681
## [233,] -0.0003669817
## [234,] 0.5329334266
## [235,] 0.0974145526
## [236,] 0.8400008970
## [237,] 0.1465771354
## [238,] 0.3998155715
## [239,] 2.1776065060
## [240,] 0.2746341661
## [241,] 1.0845887382
## [242,] 0.8727750916
## [243,] 1.2826988971
## [244,] 0.8706161690
## [245,] 0.6473837296
## [246,] 5.7181157405
## [247,] 2.6047080193
## [248,] 0.8754171899
## [249,] 0.1348806737
## [250,] 3.0268153662
## [251,] 0.4580467112
## [252,] 0.1078235488
## [253,] 0.3487579777
## [254,] 0.5715600297
## [255,] 0.9993957546
## [256,] 0.0940142835
## [257,] 1.2660432138
## [258,] 0.3743659688
## [259,] -0.0264387961
## [260,] 0.1955968703
## [261,] 0.2617851845
## [262,] 0.9518244780
## [263,] 1.8017465414
## [264,] 0.3923380448
## [265,] 0.0236264622
## [266,] 1.6284886938
## [267,] 0.7107352429
## [268,] 0.1412056584
## [269,] 2.4464096512
## [270,] 0.5008130149
## [271,] 0.1422081525
## [272,] 0.4095688849
## [273,] -0.1663337231
## [274,] 0.1050347448
## [275,] 1.8632723275
## [276,] 0.1584351107
## [277,] 1.9092332978
## [278,] 1.4620183474
## [279,] 0.9008512119
## [280,] 0.4124194902
## [281,] 3.1171857701
## [282,] 1.3974467312
## [283,] 1.4697993542
## [284,] 0.7736746609
## [285,] 5.4160392923
## [286,] 0.3856288973
## [287,] 0.4011987421
## [288,] 1.2343815036
## [289,] 1.1725164924
## [290,] 1.5974788090
## [291,] 0.3753574212
## [292,] 0.9078795677
## [293,] 2.7248207685
## [294,] 0.2457030247
## [295,] 1.9790875424
## [296,] 0.6443752791
## [297,] 0.4673163153
## [298,] 0.4882082389
## [299,] 3.7004527128
## [300,] 0.8321440854
## [301,] 1.2513769729
## [302,] 0.7570256551
## [303,] 0.1976239864
## [304,] -0.0728618893
## [305,] 0.7377285700
## [306,] 0.9652003560
## [307,] 3.8560328797
## [308,] 0.0055036073
## [309,] 0.3128383291
## [310,] 0.3671621556
## [311,] 0.7932502752
## [312,] 0.2174796721
## [313,] 0.5770539430
## [314,] 2.4153310538
## [315,] 1.0958632609
## [316,] 1.2607837982
## [317,] 1.0792263834
## [318,] 0.6065103141
## [319,] 0.0892423033
## [320,] 0.0526902230
## [321,] 0.2378542385
## [322,] 1.3540965216
## [323,] 0.7766588225
## [324,] -0.0337986453
## [325,] 1.9971798457
## [326,] 0.5305578226
## [327,] 0.1278421202
## [328,] 0.7350815585
## [329,] 0.5518776905
## [330,] 0.2017686085
## [331,] 0.3051270059
## [332,] 0.6717918082
## [333,] 0.9888369892
## [334,] 1.3779627735
## [335,] 0.1055191856
## [336,] 0.2375618105
## [337,] 0.3063188214
## [338,] 0.2760888028
## [339,] 1.5971333363
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## [353,] 1.0433314412
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## [356,] 0.0547600842
## [357,] 1.6045881003
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## [359,] 0.9308937004
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## [375,] 7.4476385860
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## [387,] 0.4684613831
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## [390,] 0.7796930828
## [391,] 0.5791602917
## [392,] 0.2662860729
## [393,] 4.4056452146
## [394,] 0.3959636843
## [395,] 0.5801998915
## [396,] 0.5536425803
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## [450,] 6.5576556828
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## [473,] 0.8993941714
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## [475,] 1.5160512936
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## [477,] 5.7749169781
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## [481,] 2.0502713922
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##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
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## 267 1 1
## 268 1 1
## 269 1 -1
## 270 1 1
## 271 1 1
## 272 1 1
## 273 1 1
## 274 1 1
## 275 1 1
## 276 1 -1
## 277 1 1
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## 288 1 -1
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## 308 1 1
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## 310 1 1
## 311 1 1
## 312 1 1
##
## $terms
## sci_comp ~ demo$med_condition_dependent
## attr(,"variables")
## list(sci_comp, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## sci_comp 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Personal Community Orientation
Now, Personal Community Orientation:
And an Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.00024 0.0002436 0.027515 0.00009 0.921
## Residuals 310 2.74434 0.0088527 0.99991
## Total 311 2.74458 1.00000
##
## $call
## adonis(formula = per_comm_orient ~ demo$med_condition_dependent)
##
## $coefficients
## per_comm_orient1 per_comm_orient2
## (Intercept) 5.2842042 5.3501963
## demo$med_condition_dependent1 0.0114769 -0.1043491
## per_comm_orient3 per_comm_orient4
## (Intercept) 5.72802779 5.40440954
## demo$med_condition_dependent1 -0.09015403 0.04077318
##
## $coef.sites
## 1 2 3 4
## (Intercept) 0.079252301 0.07175717 0.06191799 0.06191799
## demo$med_condition_dependent1 0.007375705 0.00218632 0.00379539 0.00379539
## 5 6 7 8
## (Intercept) 0.06191799 7.136099e-02 0.114766619 0.066537039
## demo$med_condition_dependent1 0.00379539 -7.701506e-05 0.003767428 0.002705912
## 9 10 11 12
## (Intercept) 0.0838074155 0.107271158 0.129634688 0.066537039
## demo$med_condition_dependent1 0.0008552913 0.003884904 0.004199264 0.002705912
## 13 14 15 16
## (Intercept) 0.07175717 0.07175717 0.079838899 0.2165648480
## demo$med_condition_dependent1 0.00218632 0.00218632 0.005722597 0.0008830108
## 17 18 19 20
## (Intercept) 0.066537039 0.100678948 0.066537039 0.1138032328
## demo$med_condition_dependent1 0.002705912 0.003200662 0.002705912 -0.0003965593
## 21 22 23 24
## (Intercept) 0.252207507 0.07175717 0.06191799 0.083098062
## demo$med_condition_dependent1 0.001621112 0.00218632 0.00379539 0.002858877
## 25 26 27 28
## (Intercept) 0.107271158 0.99833887 0.066948280 0.129634688
## demo$med_condition_dependent1 0.003884904 -0.00166113 0.004873112 0.004199264
## 29 30 31 32
## (Intercept) 0.066537039 0.088601742 0.066537039 0.06191799
## demo$med_condition_dependent1 0.002705912 0.002392878 0.002705912 0.00379539
## 33 34 35 36
## (Intercept) 1.232621e-01 0.087799495 0.066537039 0.114205808
## demo$med_condition_dependent1 -6.036528e-05 0.003163301 0.002705912 0.003206617
## 37 38 39 40
## (Intercept) 0.0671357506 0.066537039 0.088601742 0.071164218
## demo$med_condition_dependent1 0.0009283514 0.002705912 0.002392878 0.004055212
## 41 42 43 44
## (Intercept) 0.06191799 0.066537039 0.07175717 0.06191799
## demo$med_condition_dependent1 0.00379539 0.002705912 0.00218632 0.00379539
## 45 46 47
## (Intercept) 0.088601742 0.2867238791 0.228906717
## demo$med_condition_dependent1 0.002392878 -0.0008442147 -0.001090427
## 48 49 50 51
## (Intercept) 0.062608291 0.07175717 0.075876331 0.066537039
## demo$med_condition_dependent1 0.004262879 0.00218632 0.002905251 0.002705912
## 52 53 54 55
## (Intercept) 0.066537039 0.062377838 0.066537039 0.114205808
## demo$med_condition_dependent1 0.002705912 0.002004496 0.002705912 0.003206617
## 56 57 58 59
## (Intercept) 0.066537039 0.062608291 0.062377838 0.06191799
## demo$med_condition_dependent1 0.002705912 0.004262879 0.002004496 0.00379539
## 60 61 62 63
## (Intercept) 0.083098062 0.067520338 0.08283450 0.108518187
## demo$med_condition_dependent1 0.002858877 0.003106592 0.00259532 0.005009249
## 64 65 66 67
## (Intercept) 0.099018156 0.114205808 0.105578432 0.067520338
## demo$med_condition_dependent1 0.003070933 0.003206617 0.004763003 0.003106592
## 68 69 70 71
## (Intercept) 0.062608291 0.066537039 0.066537039 0.067520338
## demo$med_condition_dependent1 0.004262879 0.002705912 0.002705912 0.003106592
## 72 73 74 75
## (Intercept) 0.07175717 0.066537039 0.062608291 0.129634688
## demo$med_condition_dependent1 0.00218632 0.002705912 0.004262879 0.004199264
## 76 77 78 79
## (Intercept) 0.06191799 0.066537039 0.066537039 0.099018156
## demo$med_condition_dependent1 0.00379539 0.002705912 0.002705912 0.003070933
## 80 81 82 83
## (Intercept) 0.066537039 0.066537039 0.066537039 0.06191799
## demo$med_condition_dependent1 0.002705912 0.002705912 0.002705912 0.00379539
## 84 85 86 87
## (Intercept) 0.07175717 0.097115823 0.06191799 0.083098062
## demo$med_condition_dependent1 0.00218632 0.005876404 0.00379539 0.002858877
## 88 89 90 91
## (Intercept) 0.07175717 0.062608291 0.107271158 0.078701406
## demo$med_condition_dependent1 0.00218632 0.004262879 0.003884904 0.003658158
## 92 93 94 95
## (Intercept) 0.127106505 0.06191799 0.1380048651 0.07175717
## demo$med_condition_dependent1 0.005297469 0.00379539 0.0008011241 0.00218632
## 96 97 98 99
## (Intercept) 0.07175717 0.066537039 0.062608291 0.07175717
## demo$med_condition_dependent1 0.00218632 0.002705912 0.004262879 0.00218632
## 100 101 102 103
## (Intercept) 0.155205614 0.129634688 0.066537039 0.08005278
## demo$med_condition_dependent1 0.003767686 0.004199264 0.002705912 0.00558638
## 104 105 106 107
## (Intercept) 0.088601742 0.076068343 0.070733831 0.062377838
## demo$med_condition_dependent1 0.002392878 -0.001131067 0.001803155 0.002004496
## 108 109 110 111
## (Intercept) 0.095012974 0.066948280 0.078873429 0.07175717
## demo$med_condition_dependent1 0.003787577 0.004873112 0.004517893 0.00218632
## 112 113 114 115
## (Intercept) 0.076068343 0.07175717 0.066537039 0.089591139
## demo$med_condition_dependent1 -0.001131067 0.00218632 0.002705912 0.003634275
## 116 117 118 119
## (Intercept) 0.07175717 0.06191799 0.0671357506 0.06191799
## demo$med_condition_dependent1 0.00218632 0.00379539 0.0009283514 0.00379539
## 120 121 122 123
## (Intercept) 0.067520338 0.066537039 0.07175717 0.066537039
## demo$med_condition_dependent1 0.003106592 0.002705912 0.00218632 0.002705912
## 124 125 126 127
## (Intercept) 0.07175717 0.062185826 0.116089552 0.099018156
## demo$med_condition_dependent1 0.00218632 0.006040814 0.002868105 0.003070933
## 128 129 130 131
## (Intercept) 0.089591139 0.134214812 0.07175717 0.2867238791
## demo$med_condition_dependent1 0.003634275 0.002016165 0.00218632 -0.0008442147
## 132 133 134 135
## (Intercept) 0.07175717 0.084232293 0.07175717 0.066537039
## demo$med_condition_dependent1 0.00218632 0.005320573 0.00218632 0.002705912
## 136 137 138 139
## (Intercept) 0.062377838 0.066537039 0.06191799 0.078970306
## demo$med_condition_dependent1 0.002004496 0.002705912 0.00379539 0.003927057
## 140 141 142 143
## (Intercept) 0.066537039 0.116089552 0.06191799 0.066537039
## demo$med_condition_dependent1 0.002705912 0.002868105 0.00379539 0.002705912
## 144 145 146 147
## (Intercept) 0.067520338 0.08005278 0.084708903 0.062377838
## demo$med_condition_dependent1 0.003106592 0.00558638 0.004371072 0.002004496
## 148 149 150 151
## (Intercept) 0.066537039 0.062608291 0.088601742 0.066948280
## demo$med_condition_dependent1 0.002705912 0.004262879 0.002392878 0.004873112
## 152 153 154 155
## (Intercept) 0.066537039 0.078426832 0.115198540 0.06191799
## demo$med_condition_dependent1 0.002705912 0.005167152 0.001977093 0.00379539
## 156 157 158 159
## (Intercept) 0.066537039 0.066537039 0.076620820 0.134396759
## demo$med_condition_dependent1 0.002705912 0.002705912 0.001050579 0.002198112
## 160 161 162 163
## (Intercept) 0.111820135 0.062377838 0.07175717 0.0671357506
## demo$med_condition_dependent1 0.002498798 0.002004496 0.00218632 0.0009283514
## 164 165 166 167
## (Intercept) 0.095922617 0.066537039 0.06191799 0.067520338
## demo$med_condition_dependent1 0.003606992 0.002705912 0.00379539 0.003106592
## 168 169 170 171
## (Intercept) 0.07175717 0.078426832 0.078426832 0.066537039
## demo$med_condition_dependent1 0.00218632 0.005167152 0.005167152 0.002705912
## 172 173 174 175
## (Intercept) 0.078970306 0.06191799 7.136099e-02 0.079838899
## demo$med_condition_dependent1 0.003927057 0.00379539 -7.701506e-05 0.005722597
## 176 177 178 179
## (Intercept) 0.062377838 8.784088e-02 0.062185826 0.155018547
## demo$med_condition_dependent1 0.002004496 7.071395e-05 0.006040814 0.003580619
## 180 181 182 183
## (Intercept) 0.06191799 0.07175717 0.155018547 0.079838899
## demo$med_condition_dependent1 0.00379539 0.00218632 0.003580619 0.005722597
## 184 185 186 187
## (Intercept) 0.0671357506 0.066537039 0.066537039 0.062608291
## demo$med_condition_dependent1 0.0009283514 0.002705912 0.002705912 0.004262879
## 188 189 190 191
## (Intercept) 0.114205808 0.088806354 0.066537039 0.062377838
## demo$med_condition_dependent1 0.003206617 0.001275418 0.002705912 0.002004496
## 192 193 194 195
## (Intercept) 0.163214233 0.089813993 0.067520338 0.062608291
## demo$med_condition_dependent1 0.001514706 0.003488579 0.003106592 0.004262879
## 196 197 198 199
## (Intercept) 0.07175717 0.070733831 0.07175717 0.116197960
## demo$med_condition_dependent1 0.00218632 0.001803155 0.00218632 0.002588012
## 200 201 202 203
## (Intercept) 0.089813993 0.06191799 0.06191799 0.07175717
## demo$med_condition_dependent1 0.003488579 0.00379539 0.00379539 0.00218632
## 204 205 206 207
## (Intercept) 0.129634688 0.10016525 0.07175717 0.06191799
## demo$med_condition_dependent1 0.004199264 0.00515197 0.00218632 0.00379539
## 208 209 210 211
## (Intercept) 0.066537039 0.066537039 0.089591139 0.062185826
## demo$med_condition_dependent1 0.002705912 0.002705912 0.003634275 0.006040814
## 212 213 214 215
## (Intercept) 0.06191799 0.089591139 0.07175717 0.06191799
## demo$med_condition_dependent1 0.00379539 0.003634275 0.00218632 0.00379539
## 216 217 218 219
## (Intercept) 0.076068343 0.163214233 0.112986340 0.114205808
## demo$med_condition_dependent1 -0.001131067 0.001514706 -0.001465452 0.003206617
## 220 221 222 223
## (Intercept) 0.066537039 0.162520767 0.083560721 7.136099e-02
## demo$med_condition_dependent1 0.002705912 0.000387652 0.003328475 -7.701506e-05
## 224 225 226 227
## (Intercept) 0.06191799 0.101519125 7.136099e-02 0.06191799
## demo$med_condition_dependent1 0.00379539 0.004625071 -7.701506e-05 0.00379539
## 228 229 230 231
## (Intercept) 0.088601742 0.107503648 0.07175717 0.066537039
## demo$med_condition_dependent1 0.002392878 0.003728894 0.00218632 0.002705912
## 232 233 234 235
## (Intercept) 0.138181965 0.067520338 0.107271158 0.066537039
## demo$med_condition_dependent1 0.000978224 0.003106592 0.003884904 0.002705912
## 236 237 238 239
## (Intercept) 0.155018547 0.114205808 0.067520338 0.097115823
## demo$med_condition_dependent1 0.003580619 0.003206617 0.003106592 0.005876404
## 240 241 242 243
## (Intercept) 0.107503648 0.07175717 0.07175717 0.129634688
## demo$med_condition_dependent1 0.003728894 0.00218632 0.00218632 0.004199264
## 244 245 246 247
## (Intercept) 0.062377838 0.151039469 0.062608291 0.070733831
## demo$med_condition_dependent1 0.002004496 0.003537207 0.004262879 0.001803155
## 248 249 250 251
## (Intercept) 0.083098062 0.06191799 0.066537039 0.114766619
## demo$med_condition_dependent1 0.002858877 0.00379539 0.002705912 0.003767428
## 252 253 254 255
## (Intercept) 0.066537039 0.071164218 0.129634688 0.08005278
## demo$med_condition_dependent1 0.002705912 0.004055212 0.004199264 0.00558638
## 256 257 258 259
## (Intercept) 0.325571633 0.066537039 0.093223511 0.07175717
## demo$med_condition_dependent1 -0.001247722 0.002705912 0.001225011 0.00218632
## 260 261 262 263
## (Intercept) 0.066537039 0.0671357506 0.088601742 0.107503648
## demo$med_condition_dependent1 0.002705912 0.0009283514 0.002392878 0.003728894
## 264 265 266 267
## (Intercept) 0.10288601 0.10288601 0.066537039 0.062377838
## demo$med_condition_dependent1 0.00449122 0.00449122 0.002705912 0.002004496
## 268 269 270 271
## (Intercept) 0.066537039 0.079252301 7.136099e-02 0.062377838
## demo$med_condition_dependent1 0.002705912 0.007375705 -7.701506e-05 0.002004496
## 272 273 274 275
## (Intercept) 0.134396759 0.115086159 0.07175717 0.107271158
## demo$med_condition_dependent1 0.002198112 0.004086968 0.00218632 0.003884904
## 276 277 278 279
## (Intercept) 0.099589691 0.116197960 0.107271158 0.078873429
## demo$med_condition_dependent1 0.003642468 0.002588012 0.003884904 0.004517893
## 280 281 282 283
## (Intercept) 0.088601742 0.066537039 0.066537039 0.07175717
## demo$med_condition_dependent1 0.002392878 0.002705912 0.002705912 0.00218632
## 284 285 286 287
## (Intercept) 0.13415390 0.062377838 0.114205808 0.08005278
## demo$med_condition_dependent1 0.00236537 0.002004496 0.003206617 0.00558638
## 288 289 290 291
## (Intercept) 0.099276581 0.098692347 0.0671357506 0.066537039
## demo$med_condition_dependent1 0.003329358 0.002745124 0.0009283514 0.002705912
## 292 293 294
## (Intercept) 0.1138032328 0.067520338 0.0671357506
## demo$med_condition_dependent1 -0.0003965593 0.003106592 0.0009283514
## 295 296 297 298
## (Intercept) 0.088601742 0.062377838 0.066537039 0.07175717
## demo$med_condition_dependent1 0.002392878 0.002004496 0.002705912 0.00218632
## 299 300 301 302
## (Intercept) 0.084013067 0.066537039 0.062185826 0.098692347
## demo$med_condition_dependent1 0.003773883 0.002705912 0.006040814 0.002745124
## 303 304 305 306
## (Intercept) 0.112813836 0.066537039 0.062377838 0.06191799
## demo$med_condition_dependent1 -0.001637957 0.002705912 0.002004496 0.00379539
## 307 308 309 310
## (Intercept) 0.164624008 0.213118998 0.066537039 0.062377838
## demo$med_condition_dependent1 0.002787981 0.003202358 0.002705912 0.002004496
## 311 312
## (Intercept) 0.08283450 0.066537039
## demo$med_condition_dependent1 0.00259532 0.002705912
##
## $f.perms
## [,1]
## [1,] 0.1240878804
## [2,] 0.1048277120
## [3,] 0.1800777394
## [4,] 0.5676278064
## [5,] 0.7570240155
## [6,] 0.2400487550
## [7,] 0.2937778355
## [8,] 0.1151869293
## [9,] 0.2583726149
## [10,] 0.4910476116
## [11,] 0.2220707513
## [12,] 1.6333818528
## [13,] 0.0795429139
## [14,] 0.7283093384
## [15,] 0.2537990988
## [16,] 1.9999324629
## [17,] 0.6393375679
## [18,] 2.2779607525
## [19,] 0.4968848842
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## [22,] 0.2634995287
## [23,] -0.2627162485
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## [31,] 0.2371593724
## [32,] 1.9878530647
## [33,] -0.0013842948
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## [35,] 2.2374135908
## [36,] 0.4219961627
## [37,] 0.2356464605
## [38,] 0.0990738106
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## [40,] 0.9237941768
## [41,] 0.7889993717
## [42,] 0.3663897552
## [43,] 1.9272315485
## [44,] 1.5643314878
## [45,] 10.7894637008
## [46,] 0.0473154047
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## [48,] 1.7442653118
## [49,] 0.8181154572
## [50,] 0.6413661792
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## [58,] 6.4589526229
## [59,] 0.0499483393
## [60,] -0.0801916989
## [61,] 0.4464093398
## [62,] 0.4340818419
## [63,] 6.3161173455
## [64,] 0.1087315807
## [65,] 0.5740044368
## [66,] 0.1655372452
## [67,] 0.2536236873
## [68,] 0.8817729545
## [69,] 1.5653788250
## [70,] 0.1717181771
## [71,] 0.5184892228
## [72,] 1.3717054302
## [73,] 0.7702417314
## [74,] 1.9015844001
## [75,] 0.0950710773
## [76,] 0.5019442122
## [77,] 2.2716362166
## [78,] 0.3125934972
## [79,] 0.9599591726
## [80,] 1.3031277329
## [81,] 0.0240747679
## [82,] 0.1118909998
## [83,] 3.1778532286
## [84,] 0.1195387532
## [85,] 1.0094047325
## [86,] 0.1693134150
## [87,] 0.5519437363
## [88,] 0.8462728817
## [89,] 0.5603216940
## [90,] 0.3869345633
## [91,] 0.2613407672
## [92,] 0.4585025853
## [93,] 0.7378252431
## [94,] 0.1044874823
## [95,] 10.0453392531
## [96,] 0.2568874717
## [97,] 0.2127356933
## [98,] 0.5043806483
## [99,] 0.3601022748
## [100,] 0.9170199847
## [101,] 0.8459471157
## [102,] 0.2771688952
## [103,] 10.3684429119
## [104,] 0.3359756715
## [105,] 1.2455941643
## [106,] 1.4143469091
## [107,] 0.3708872058
## [108,] 2.6671863363
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## [121,] 5.6060022917
## [122,] 0.7619175929
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##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
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##
## $terms
## per_comm_orient ~ demo$med_condition_dependent
## attr(,"variables")
## list(per_comm_orient, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## per_comm_orient 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to care of those with medical conditions.
Science Community Orientation
Now, Competency in Science:
Well crap, something is broke there. Let’s try running a different
form of MDS, giving us a similar analysis in a different way. We can
interpret this data similarly to how we did before:
And an Adonis test:
## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## demo$med_condition_dependent 1 0.0031 0.0030785 0.20992 0.00068 0.711
## Residuals 310 4.5462 0.0146653 0.99932
## Total 311 4.5493 1.00000
##
## $call
## adonis(formula = sci_comm_orient ~ demo$med_condition_dependent)
##
## $coefficients
## sci_comm_orient1 sci_comm_orient2
## (Intercept) 5.14406524 5.37345213
## demo$med_condition_dependent1 -0.03775294 -0.08109333
## sci_comm_orient3 sci_comm_orient4
## (Intercept) 5.4139233 5.3252794
## demo$med_condition_dependent1 -0.1315313 -0.1292661
## sci_comm_orient_ave
## (Intercept) 5.3141800
## demo$med_condition_dependent1 -0.0949109
##
## $coef.sites
## 1 2 3
## (Intercept) 0.091657164 0.10466527 0.091657164
## demo$med_condition_dependent1 -0.007988528 -0.00714086 -0.007988528
## 4 5 6
## (Intercept) 0.272669762 0.091657164 0.089608416
## demo$med_condition_dependent1 -0.003530354 -0.007988528 -0.003198877
## 7 8 9 10
## (Intercept) 0.129582428 0.07841255 0.09630158 0.113603939
## demo$med_condition_dependent1 0.009235057 0.01141945 0.01003843 -0.002133391
## 11 12 13 14
## (Intercept) 0.097543586 0.07841255 0.091657164 0.091657164
## demo$med_condition_dependent1 -0.002506146 0.01141945 -0.007988528 -0.007988528
## 15 16 17 18
## (Intercept) 0.086177147 0.10466527 0.07841255 0.086303836
## demo$med_condition_dependent1 -0.003082473 -0.00714086 0.01141945 -0.002955785
## 19 20 21 22
## (Intercept) 0.07841255 0.0972174571 0.134901995 0.091657164
## demo$med_condition_dependent1 0.01141945 0.0006805611 0.006617601 -0.007988528
## 23 24 25 26
## (Intercept) 0.112641992 0.083755658 0.091657164 0.99833887
## demo$med_condition_dependent1 -0.003095339 0.001025282 -0.007988528 -0.00166113
## 27 28 29 30
## (Intercept) 0.091657164 0.158547993 0.07841255 0.123629921
## demo$med_condition_dependent1 -0.007988528 -0.006561081 0.01141945 -0.008053312
## 31 32 33 34
## (Intercept) 0.07841255 0.079328545 0.240630267 0.079328545
## demo$med_condition_dependent1 0.01141945 0.006298259 -0.003940026 0.006298259
## 35 36 37 38
## (Intercept) 0.07841255 0.09630158 0.079328545 0.07841255
## demo$med_condition_dependent1 0.01141945 0.01003843 0.006298259 0.01141945
## 39 40 41 42
## (Intercept) 0.10466527 0.091657164 0.07841255 0.07841255
## demo$med_condition_dependent1 -0.00714086 -0.007988528 0.01141945 0.01141945
## 43 44 45
## (Intercept) 0.089608416 0.129626121 0.208074874
## demo$med_condition_dependent1 -0.003198877 -0.002507435 -0.001400352
## 46 47 48
## (Intercept) 0.272669762 0.140247704 0.120663633
## demo$med_condition_dependent1 -0.003530354 -0.002242477 -0.007429519
## 49 50 51 52
## (Intercept) 0.091657164 0.091657164 0.07841255 0.089608416
## demo$med_condition_dependent1 -0.007988528 -0.007988528 0.01141945 -0.003198877
## 53 54 55 56
## (Intercept) 0.121436027 0.07841255 0.145012807 0.07841255
## demo$med_condition_dependent1 -0.006657125 0.01141945 0.009676982 0.01141945
## 57 58 59
## (Intercept) 0.159000158 0.139026793 0.079328545
## demo$med_condition_dependent1 -0.002335891 -0.007142723 0.006298259
## 60 61 62 63
## (Intercept) 0.117424928 0.083879395 0.09514138 0.121840935
## demo$med_condition_dependent1 -0.002053579 0.001149019 0.01173028 -0.002662138
## 64 65 66 67
## (Intercept) 0.129582428 0.07841255 0.10367977 0.07841255
## demo$med_condition_dependent1 0.009235057 0.01141945 -0.00343004 0.01141945
## 68 69 70 71
## (Intercept) 0.088721108 0.07841255 0.07841255 0.07841255
## demo$med_condition_dependent1 -0.004086184 0.01141945 0.01141945 0.01141945
## 72 73 74 75
## (Intercept) 0.091657164 0.145012807 0.166623171 0.145012807
## demo$med_condition_dependent1 -0.007988528 0.009676982 -0.007107413 0.009676982
## 76 77 78 79
## (Intercept) 0.107559455 0.07841255 0.07841255 0.12840469
## demo$med_condition_dependent1 -0.007751635 0.01141945 0.01141945 0.01080174
## 80 81 82 83
## (Intercept) 0.07841255 0.07841255 0.079328545 0.079328545
## demo$med_condition_dependent1 0.01141945 0.01141945 0.006298259 0.006298259
## 84 85 86 87
## (Intercept) 0.097543586 0.09741380 0.086303836 0.110659598
## demo$med_condition_dependent1 -0.002506146 -0.00263593 -0.002955785 0.009437737
## 88 89 90 91
## (Intercept) 0.089349597 0.121436027 0.082604081 0.07841255
## demo$med_condition_dependent1 0.006254672 -0.006657125 0.006191131 0.01141945
## 92 93 94
## (Intercept) 0.120663633 0.091657164 0.099431370
## demo$med_condition_dependent1 -0.007429519 -0.007988528 -0.004042073
## 95 96 97 98
## (Intercept) 0.091657164 0.091657164 0.07841255 0.086177147
## demo$med_condition_dependent1 -0.007988528 -0.007988528 0.01141945 -0.003082473
## 99 100 101 102
## (Intercept) 0.10466527 0.18707470 0.07841255 0.07841255
## demo$med_condition_dependent1 -0.00714086 -0.00877981 0.01141945 0.01141945
## 103 104 105
## (Intercept) 0.086177147 0.091657164 0.0871072507
## demo$med_condition_dependent1 -0.003082473 -0.007988528 0.0009136706
## 106 107 108 109
## (Intercept) 0.107559455 0.0971901433 0.127996170 0.082604081
## demo$med_condition_dependent1 -0.007751635 0.0006532473 0.005824655 0.006191131
## 110 111 112 113
## (Intercept) 0.0971901433 0.07841255 0.091657164 0.142068814
## demo$med_condition_dependent1 0.0006532473 0.01141945 -0.007988528 -0.007780037
## 114 115 116 117
## (Intercept) 0.158547993 0.180195512 0.091657164 0.07841255
## demo$med_condition_dependent1 -0.006561081 -0.002079763 -0.007988528 0.01141945
## 118 119 120 121
## (Intercept) 0.106730543 0.245470308 0.091657164 0.07841255
## demo$med_condition_dependent1 -0.008580547 -0.008199781 -0.007988528 0.01141945
## 122 123 124 125
## (Intercept) 0.091657164 0.07841255 0.180195512 0.103102096
## demo$med_condition_dependent1 -0.007988528 0.01141945 -0.002079763 0.009527739
## 126 127 128 129
## (Intercept) 0.07841255 0.129582428 0.674827347 0.123551271
## demo$med_condition_dependent1 0.01141945 0.009235057 -0.004957514 -0.008131962
## 130 131 132 133
## (Intercept) 0.07841255 0.272669762 0.091657164 0.12840469
## demo$med_condition_dependent1 0.01141945 -0.003530354 -0.007988528 0.01080174
## 134 135 136 137
## (Intercept) 0.091657164 0.07841255 0.086177147 0.07841255
## demo$med_condition_dependent1 -0.007988528 0.01141945 -0.003082473 0.01141945
## 138 139 140 141
## (Intercept) 0.107483022 0.083755658 0.07841255 0.180195512
## demo$med_condition_dependent1 -0.007828068 0.001025282 0.01141945 -0.002079763
## 142 143 144 145
## (Intercept) 0.07841255 0.07841255 0.147596527 0.086177147
## demo$med_condition_dependent1 0.01141945 0.01141945 -0.006660038 -0.003082473
## 146 147 148 149
## (Intercept) 0.07841255 0.079328545 0.674827347 0.091657164
## demo$med_condition_dependent1 0.01141945 0.006298259 -0.004957514 -0.007988528
## 150 151 152 153
## (Intercept) 0.148883963 0.07841255 0.07841255 0.140247704
## demo$med_condition_dependent1 0.002237938 0.01141945 0.01141945 -0.002242477
## 154 155 156 157
## (Intercept) 0.0938855634 0.10466527 0.07841255 0.07841255
## demo$med_condition_dependent1 0.0008963392 -0.00714086 0.01141945 0.01141945
## 158 159 160
## (Intercept) 0.148974845 0.0938855634 0.113837323
## demo$med_condition_dependent1 -0.009973802 0.0008963392 0.009120353
## 161 162 163
## (Intercept) 0.091657164 0.091657164 0.079328545
## demo$med_condition_dependent1 -0.007988528 -0.007988528 0.006298259
## 164 165 166
## (Intercept) 0.282355612 0.091657164 0.082483161
## demo$med_condition_dependent1 -0.008832849 -0.007988528 0.006070211
## 167 168 169 170
## (Intercept) 0.102946198 0.245470308 0.091657164 0.07841255
## demo$med_condition_dependent1 -0.004163608 -0.008199781 -0.007988528 0.01141945
## 171 172 173 174
## (Intercept) 0.07841255 0.095179597 0.214995437 0.079328545
## demo$med_condition_dependent1 0.01141945 0.007095586 -0.008151803 0.006298259
## 175 176 177
## (Intercept) 0.189356617 0.089608416 0.158547993
## demo$med_condition_dependent1 -0.002626414 -0.003198877 -0.006561081
## 178 179 180 181
## (Intercept) 0.09741380 0.158547993 0.081395860 0.07841255
## demo$med_condition_dependent1 -0.00263593 -0.006561081 0.002128687 0.01141945
## 182 183 184 185
## (Intercept) 0.158547993 0.079328545 0.079328545 0.07841255
## demo$med_condition_dependent1 -0.006561081 0.006298259 0.006298259 0.01141945
## 186 187 188 189
## (Intercept) 0.07841255 0.088721108 0.12871047 0.07841255
## demo$med_condition_dependent1 0.01141945 -0.004086184 0.01110752 0.01141945
## 190 191 192 193
## (Intercept) 0.07841255 0.120663633 0.097543586 0.091657164
## demo$med_condition_dependent1 0.01141945 -0.007429519 -0.002506146 -0.007988528
## 194 195 196 197
## (Intercept) 0.080178167 0.091657164 0.091657164 0.089349597
## demo$med_condition_dependent1 0.007147881 -0.007988528 -0.007988528 0.006254672
## 198 199 200 201
## (Intercept) 0.195231110 0.106730543 0.106730543 0.07841255
## demo$med_condition_dependent1 -0.009186955 -0.008580547 -0.008580547 0.01141945
## 202 203 204 205
## (Intercept) 0.07841255 0.07841255 0.07841255 0.11222900
## demo$med_condition_dependent1 0.01141945 0.01141945 0.01141945 0.00530304
## 206 207 208 209
## (Intercept) 0.091657164 0.0871072507 0.086303836 0.07841255
## demo$med_condition_dependent1 -0.007988528 0.0009136706 -0.002955785 0.01141945
## 210 211 212
## (Intercept) 0.086303836 0.091657164 0.083879395
## demo$med_condition_dependent1 -0.002955785 -0.007988528 0.001149019
## 213 214 215 216
## (Intercept) 0.158547993 0.082483161 0.07841255 0.07841255
## demo$med_condition_dependent1 -0.006561081 0.006070211 0.01141945 0.01141945
## 217 218 219 220
## (Intercept) 0.07841255 0.099431370 0.145012807 0.07841255
## demo$med_condition_dependent1 0.01141945 -0.004042073 0.009676982 0.01141945
## 221 222 223 224
## (Intercept) 0.091657164 0.07841255 0.0871072507 0.089349597
## demo$med_condition_dependent1 -0.007988528 0.01141945 0.0009136706 0.006254672
## 225 226 227
## (Intercept) 0.272669762 0.124402315 0.089608416
## demo$med_condition_dependent1 -0.003530354 -0.007280918 -0.003198877
## 228 229 230
## (Intercept) 0.091657164 0.091657164 0.142068814
## demo$med_condition_dependent1 -0.007988528 -0.007988528 -0.007780037
## 231 232 233 234
## (Intercept) 0.223582051 0.084623716 0.07841255 0.07841255
## demo$med_condition_dependent1 -0.008735039 0.001893339 0.01141945 0.01141945
## 235 236 237
## (Intercept) 0.088721108 0.158547993 0.129827083
## demo$med_condition_dependent1 -0.004086184 -0.006561081 0.009479713
## 238 239 240
## (Intercept) 0.147742972 0.080178167 0.099561154
## demo$med_condition_dependent1 -0.006797961 0.007147881 -0.003912289
## 241 242 243 244
## (Intercept) 0.091657164 0.091657164 0.145012807 0.07841255
## demo$med_condition_dependent1 -0.007988528 -0.007988528 0.009676982 0.01141945
## 245 246 247 248
## (Intercept) 0.121840935 0.137247709 0.099561154 0.09630158
## demo$med_condition_dependent1 -0.002662138 -0.003021383 -0.003912289 0.01003843
## 249 250 251 252
## (Intercept) 0.091657164 0.07841255 0.145012807 0.07841255
## demo$med_condition_dependent1 -0.007988528 0.01141945 0.009676982 0.01141945
## 253 254 255 256
## (Intercept) 0.10466527 0.145012807 0.091657164 0.184920006
## demo$med_condition_dependent1 -0.00714086 0.009676982 -0.007988528 -0.006242418
## 257 258 259 260
## (Intercept) 0.07841255 0.272669762 0.091657164 0.272669762
## demo$med_condition_dependent1 0.01141945 -0.003530354 -0.007988528 -0.003530354
## 261 262 263 264
## (Intercept) 0.083879395 0.245470308 0.245470308 0.07841255
## demo$med_condition_dependent1 0.001149019 -0.008199781 -0.008199781 0.01141945
## 265 266 267 268
## (Intercept) 0.07841255 0.07841255 0.091657164 0.07841255
## demo$med_condition_dependent1 0.01141945 0.01141945 -0.007988528 0.01141945
## 269 270 271 272
## (Intercept) 0.106416303 0.100021205 0.079328545 0.272669762
## demo$med_condition_dependent1 0.005962531 -0.003664891 0.006298259 -0.003530354
## 273 274 275 276
## (Intercept) 0.07841255 0.120663633 0.079328545 0.07841255
## demo$med_condition_dependent1 0.01141945 -0.007429519 0.006298259 0.01141945
## 277 278 279
## (Intercept) 0.1860715610 0.121514678 0.207896637
## demo$med_condition_dependent1 -0.0008957964 -0.006578475 -0.001232268
## 280 281 282 283
## (Intercept) 0.121436027 0.07841255 0.07841255 0.081395860
## demo$med_condition_dependent1 -0.006657125 0.01141945 0.01141945 0.002128687
## 284 285 286 287
## (Intercept) 0.086303836 0.083755658 0.145012807 0.081395860
## demo$med_condition_dependent1 -0.002955785 0.001025282 0.009676982 0.002128687
## 288 289 290 291
## (Intercept) 0.11149881 0.129582428 0.07841255 0.07841255
## demo$med_condition_dependent1 0.01237625 0.009235057 0.01141945 0.01141945
## 292 293 294 295
## (Intercept) 0.086177147 0.082483161 0.106730543 0.084747453
## demo$med_condition_dependent1 -0.003082473 0.006070211 -0.008580547 0.002017076
## 296 297 298 299
## (Intercept) 0.091657164 0.145012807 0.084747453 0.09630158
## demo$med_condition_dependent1 -0.007988528 0.009676982 0.002017076 0.01003843
## 300 301 302 303
## (Intercept) 0.07841255 0.091657164 0.07841255 0.123629921
## demo$med_condition_dependent1 0.01141945 -0.007988528 0.01141945 -0.008053312
## 304 305 306 307
## (Intercept) 0.100164938 0.10902371 0.079328545 0.21030068
## demo$med_condition_dependent1 -0.003308505 0.00493357 0.006298259 -0.00402303
## 308 309 310 311
## (Intercept) 0.21550408 0.121436027 0.107559455 0.07841255
## demo$med_condition_dependent1 -0.00366812 -0.006657125 -0.007751635 0.01141945
## 312
## (Intercept) 0.214180754
## demo$med_condition_dependent1 -0.003816542
##
## $f.perms
## [,1]
## [1,] 0.2679081428
## [2,] 0.5348535786
## [3,] 0.9460141634
## [4,] 0.8177542978
## [5,] 0.1469815908
## [6,] 0.5227450988
## [7,] 1.6287883576
## [8,] 0.5204732661
## [9,] 0.0990349838
## [10,] 0.4732773304
## [11,] 2.2096677647
## [12,] 1.1147820901
## [13,] 1.6491898503
## [14,] 2.2178670787
## [15,] 0.0913396164
## [16,] 1.1150778180
## [17,] 0.9422874377
## [18,] 1.1973321544
## [19,] 0.1467794880
## [20,] 1.4628975257
## [21,] 0.2086109798
## [22,] 0.3478052286
## [23,] 0.2908583665
## [24,] 0.2306458260
## [25,] 0.3910498341
## [26,] 0.5628469168
## [27,] 0.0567792143
## [28,] 0.1158578199
## [29,] 0.0179915784
## [30,] 0.6608716548
## [31,] 0.0204985597
## [32,] 0.1380844787
## [33,] 0.2621895529
## [34,] 1.6364805785
## [35,] 0.1065553778
## [36,] 2.7339470227
## [37,] 0.0929753218
## [38,] 1.4616278799
## [39,] 0.0089048348
## [40,] 3.8895511821
## [41,] 0.1473835653
## [42,] 0.1342785714
## [43,] 5.3404940114
## [44,] 0.3254149471
## [45,] 7.0268214412
## [46,] 0.1666347397
## [47,] 3.1181258530
## [48,] 2.9246524253
## [49,] 0.9916899518
## [50,] 1.0128039892
## [51,] 0.3004509251
## [52,] 0.0662090883
## [53,] 0.5057531826
## [54,] 0.4805510511
## [55,] 0.5594020407
## [56,] 0.1700181647
## [57,] 0.2319364593
## [58,] 0.4022438846
## [59,] 0.1236493154
## [60,] 0.0702573022
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## [62,] 0.4326780539
## [63,] 0.2931931415
## [64,] 0.0757133709
## [65,] 0.2792996604
## [66,] 0.1529524216
## [67,] 0.2834993676
## [68,] 0.6284409627
## [69,] 0.9629045632
## [70,] 0.6856560212
## [71,] 0.4693118331
## [72,] 1.6619879438
## [73,] 0.1675334746
## [74,] 1.2689336089
## [75,] 0.6854973322
## [76,] 0.7125379503
## [77,] 1.3239263735
## [78,] 1.2181741844
## [79,] 0.1040911438
## [80,] 0.2479664055
## [81,] 0.2156355057
## [82,] 0.2734305451
## [83,] 0.3121081192
## [84,] 0.2344779324
## [85,] 0.0138717102
## [86,] 0.1150754570
## [87,] 0.3374750862
## [88,] 0.0703491017
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## [90,] 0.2833913852
## [91,] 0.3401564545
## [92,] 0.2159762892
## [93,] 0.0348884104
## [94,] 0.0371228985
## [95,] 5.6210981204
## [96,] 0.4633138616
## [97,] 0.9900578873
## [98,] 0.4638568251
## [99,] 4.6393987504
## [100,] -0.0099300992
## [101,] 0.7364112357
## [102,] 0.0801888775
## [103,] 6.1709643281
## [104,] 0.2648939459
## [105,] 0.1291408120
## [106,] 1.2330043635
## [107,] 0.0910866468
## [108,] 1.1298413215
## [109,] 0.2312293495
## [110,] 1.9079082295
## [111,] 0.1069172040
## [112,] 0.4047250064
## [113,] 0.5436227056
## [114,] 0.1232976645
## [115,] 0.9598482463
## [116,] 0.9370956670
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## [120,] 0.6437783861
## [121,] 0.0878465308
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## [123,] 0.2618113084
## [124,] 2.7451501974
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## [126,] 1.0008145872
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## [129,] 0.7377414788
## [130,] 1.2002089761
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## [133,] 0.3717728127
## [134,] 0.6556311245
## [135,] 1.3675680510
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## [148,] 1.8213225800
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## [150,] 2.3241898457
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## [152,] 1.5478274586
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## [950,] 0.1987402301
## [951,] 0.2218546073
## [952,] 0.4161266784
## [953,] 0.9576261221
## [954,] 0.3917039366
## [955,] 0.1720076455
## [956,] 0.9381841278
## [957,] 1.9284105553
## [958,] 0.7461623100
## [959,] 0.4576971265
## [960,] 0.0133169918
## [961,] 0.9341807273
## [962,] 0.1239217853
## [963,] 1.4466237922
## [964,] 0.1710089292
## [965,] 0.4825552732
## [966,] 2.1531457976
## [967,] 0.7532902243
## [968,] 0.4369764872
## [969,] 0.0712465256
## [970,] 6.3741424543
## [971,] 0.2963468361
## [972,] 0.0593469346
## [973,] 0.8136263839
## [974,] 0.0823107320
## [975,] 1.0852096110
## [976,] 0.5312458000
## [977,] 0.4057778565
## [978,] -0.0045948718
## [979,] 0.0934992476
## [980,] 0.2101511764
## [981,] 0.6330555152
## [982,] 1.8352781713
## [983,] 0.3170197248
## [984,] 0.4654094309
## [985,] 0.1880821804
## [986,] 5.6981613102
## [987,] 1.2300788885
## [988,] 0.3809619527
## [989,] 0.0645444166
## [990,] 0.4153014124
## [991,] 0.4013998874
## [992,] 1.6273902051
## [993,] 0.4241770918
## [994,] 0.1823818515
## [995,] 0.2773492626
## [996,] 0.0006441114
## [997,] 7.4993348922
## [998,] 0.2358799683
## [999,] 0.9484943983
##
## $model.matrix
## (Intercept) demo$med_condition_dependent1
## 1 1 1
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##
## $terms
## sci_comm_orient ~ demo$med_condition_dependent
## attr(,"variables")
## list(sci_comm_orient, demo$med_condition_dependent)
## attr(,"factors")
## demo$med_condition_dependent
## sci_comm_orient 0
## demo$med_condition_dependent 1
## attr(,"term.labels")
## [1] "demo$med_condition_dependent"
## attr(,"order")
## [1] 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
##
## attr(,"class")
## [1] "adonis"This shows that the differences in answers are not significant,
according to major.
Conclusion
Ultimately, what we can understand from all of this is that caring
for those who have medical conditions does not lead to a difference in
answering of questions.
In summary, let’s take a look at the running list we are making of
which questions were significant and not according to demographics:
